基本信息
易建强 男 博导 自动化研究所
电子邮件:jianqiang.yi@ia.ac.cn
通信地址:海淀区中关村东路95号 
                    中科院自动化研究所
                    综合信息系统研究中心
邮政编码:100190

研究领域

智能控制

自适应控制

集群智能决策

智能机器人

教育背景

   
学历

1981.9-1985.7:北京理工大学力学工程系,获学士学位
1987.4-1989.3:日本九州工业大学自动控制系,获硕士学位
1989.4-1992.3:日本九州工业大学自动控制系,获博士学位

学位
1992年3月获九州工业大学工学博士
出国学习工作
1986年10月-2001年5月留学日本

工作经历

1992年04月 在东京CSD公司研究开发部工作;
1994年10月 在京都Mycom公司工作,任智能技术研究室室长;
2001年06月-至今 在中国科学院自动化研究所工作,研究员、博导;
2002年03月-2007年10月 任复杂系统与智能科学重点实验室副主任;
2011年06月-2017年12月 任综合信息系统研究中心副主任。

教授课程

1) 计算智能 (From 2005 to 2006)

2) 智能控制理论及应用 (From 2006 to 2011)

3) 智能控制理论基础及应用 (From 2009 to 2011)

4) 机器人智能控制(From 2018 to 2020)

5) 智能控制(From 2020 to 2022)

承担课题

(1)  科技部科技创新2030—“新一代人工智能”重大项目2018年度项目《蜂群多智能体系统群智激发汇聚研究与实现之课题四:“蜂群”系统群智实时推理与对抗技术(2018AAA0102404),201912—202312月,国拨经费672万元,易建强主持

(2) 工信部2018年智能制造新模式应用项目邮轮薄板分段模块化智能制造新模式之课题:邮轮薄板分段模块化制造标准研究,201810—202012月,60万元,易建强主持,已结题

(3)  国家自然科学基金委创新群体项目(61421004智能机器人感知与控制之课题:飞行机器人鲁棒自适应控制方法研究,20151—202012月,140万元,易建强主持,已结题

(4)  科技部创新方法工作专项项目(2012IM010200):自动化学科先进控制方法与工具研究,201210201410月,198万元,易建强主持,已结题

(5)  国家自然科学基金委面上项目(61273149):高超声速飞行器的二型模糊自适应飞行控制方法研究,20131201612月,81万元,易建强主持,已结题

(6)  国家自然科学基金委面上项目(60975060):基于多源知识的二型模糊系统设计与控制研究,20101201212月,32万元,易建强主持,已结题 

(7)  国家高技术研究发展计划(863计划)课题:实现载荷水平调节的四绳索垂直牵引装卸机器人研制,2007AA04Z23920071020106月,77万元,易建强主持,已结题 

(8)  国家自然科学基金面上项目:一类欠驱动系统的分层递阶滑模控制方法研究, 60575047, 20061200812月,23万元,易建强主持,已结题 


指导学生

1)      在读博士研究生(20239月)

         王乐乐

         付清旭

         刘博寅

         扈天翼

         王诗杰

   冯锦元

   马 昊


2) 已毕业的博士研究生(2023年6月) 

(1) 刘殿通,20043月毕业,一类欠驱动机械系统的智能控制研究

(2) 程玉虎,20056月毕业,连续状态和动作空间下强化学习方法的研究

(3) 洪义平,20056月毕业,鲁棒性目标检测与识别方法研究

(4) 李佳宁,20056月毕业,移动机器人自治导航的软计算方法研究

(5) 宋佐时,20056月毕业,移动机械手协调控制研究

(6)    伟,20056月毕业,变结构控制理论在一类欠驱动机械系统中的应用研究

(7) 钟志光,20061月毕业,基于特征点对的位姿估计方法研究

(8) 邓旭玥,20066月毕业,全方位移动机器人控制与导航研究

(9) 李新春,20066月毕业,基于运动学的移动机械手协调路径规划的研究

(10) 柳晓菁,20066月毕业,非线性自适应逆控制方法研究

(11)    金,20073月毕业,水面船舶的非线性控制方法研究

(12) 刘伟荣,20076月毕业,分散最优的端到端网络拥塞控制机制研究

(13) 孙占全,20076月毕业,复杂系统建模——一类智能计算模型及其应用研究

(14) 钱殿伟,20086月毕业,一类欠驱动系统的分层递阶滑模控制方法的研究

(15) 项炎平,20086月毕业,高速网络拥塞控制方法的研究

(16)    冬,20086月毕业,全方位移动机械手运动控制方法的研究

(17) 郝银星,20096月毕业,增量式滑模控制方法在一类欠系统中的驱动应用研究

(18) 李 涛,20096月毕业,基于自适应动态规划的路口交通信号优化控制

(19) 谭湘敏,20096月毕业,一类全方位移动机械手的建模与控制研究

(20) 李成栋,20106月毕业,二型模糊系统及其控制方法研究

(21) 仇立伟,20106月毕业,大包线鲁棒飞行控制关键技术研究

(22) 王会东,20106月毕业,多操纵面无人机控制分配技术研究

(23)    华,20116月毕业,基于自抗扰控制技术的无人机自动起飞着陆控制系统研究

(24)    意,20116月毕业,绳索牵引自动水平调节机器人的设计与实现

(25) 袁如意,20116月毕业,无人机鲁棒非线性飞行控制技术研究

(26) 张建宏,20116月毕业,四绳索牵引水平调节机器人建模与控制算法研究

(27) 王铁超,20121月毕业,基于多源知识的二型模糊系统设计及控制方法研究

(28)    頔,20126月毕业,飞行器纵向运动的性能极限及其飞行控制方法研究

(29) 朱迎谷,20136月毕业,无人水上飞机建模与起飞控制研究

(30) 蒲志强,20146月毕业,高超声速飞行器大包线跟踪控制关键问题研究

(31)    芳,20146月毕业,高超声速飞行器鲁棒自适应飞行控制方法研究

(32) 常亚菲,20156月毕业,姿控式直接力气动力拦截弹复合控制方法研究

(33) 刘 振,20156月毕业,基于自适应浸入与不变理论的高超声速飞行器控制方法研究

(34)    欢,20166月毕业,水上无人机自主控制方法研究

(35)    娜,20166月毕业,面向智能制造实时监控的不确定复杂事件处理研究

(36) 高俊龙20176月毕业,基于模糊系统理论的弹性体高超声速飞行器控制方法研究

(37) 李晓琪20176月毕业,四足机器人环境适应行走的控制策略研究

(38)    20186月毕业,基于浸入与不变理论的吸气式高超声速飞行器鲁棒自适应控制方法研究

(39) 刘轶凡20186月毕业,基于模糊系统的高超声速飞行器鲁棒控制方法研究

(40) 陶新龙20196月毕业,基于区间二型模糊系统的高超声速飞行器巡航控制研究

(41) 熊天漪20196月毕业,无人机协同编队控制方法研究

(42) 眭泽智,20206年毕业,多机器人编队协同路径规划方法研究

(43) 孙金林,20216年毕业,高超声速飞行器不确定性抑制控制方法研究

(44) 王彗木,20216年毕业,基于深度强化学习的群体协同决策关键问题研究

(45) 吴士广,20226月毕业,基于深度强化学习的群体协同决策方法研究

(46) 张天乐,20236月毕业,基于深度强化学习的群体协同策略方法研究


3) 已毕业的硕士研究生 (2023年9月)

(1) 朱江滨,20036月毕业,基于专家系统的变步长一步预测与应用

(2) 李新征,20056月毕业,基于视觉的机器人定位方法及其实现

(3) 杨晟刚,200511月毕业,IGCC关键技术建模与仿真

(4) 卢雄辉,20073月毕业,基于虚拟航向的智能自动舵控制方法研究

(5) 张小成,20086月毕业,具有自动水平调节功能的吊车吊具的设计

(6) 王大伟,20086月毕业,基于Internet的全方位移动机械手遥操作系统的实现

(7) 余梓瑞,20106月毕业,基于自校正的无人机控制方法研究

(8) 殷群雅,20116月毕业,高超声速飞行器鲁棒控制方法研究

(9)   晗,20176月毕业,四旋翼无人机轨迹跟踪与编队控制方法研究

(10) 吴钟博,20216月毕业,无人机密集编队支撑网络信息协同处理方法研究

学术兼职

01) IEEE高级会员(2009.3-)。
02) ACA(Asian Control Association)会员(2009.6-)。
03) 中国自动化学会高级会员(2013-)。
04) 中国人工智能学会高级会员(2013-)。

05) 中国人工智能学会智能机器人专业委员会委员(2008.11-???)。
06) 中国人工智能学会智能空天系统专业委员会委员(2009.9-2014.10-???)。 
07) 中国指挥与控制学会无人系统专业委员会委员(2014.6-2019.10-2024.10)。 

08) 中国自动化学会信息物理系统控制与决策专业委员会委员(2016.4-2021.5-2026.4)。

09)中国自动化学会无人飞行器自主控制专业委员会委员(2018.11-2023.11-2028.11


11) 《ICIC Express Letters: An International Journal of Research and Surveys》编委(2007-)。
12) 《Journal of Advanced Computational Intelligence and Intelligent Informatics》编委(2004-)
13) 《International Journal of Innovative Computing, Information and Control》编委(2004-)。
14) 《电机与控制学报》编委(2007-)。

15) 《控制与决策》编委(2017-)。

16) 《中国自动化学会通讯》编委(2015-)。

发表论文

   
专著/编著章节

[1]       李成栋、易建强、张桂青、任伟娜:知识与数据驱动的二型模糊方法及应用,科学出版社ISBN978-7-03-052477-5, 2017.

[2]        Dianwei Qian and Jianqiang. Yi: Hierarchical Sliding Mode Control for Under-actuated Cranes, Springer, ISBN978-3-662-48415-9, 2016.

[3]        赵冬斌,易建强:全方位移动机器人导论,科学出版社ISBN978-7-03-027560-8, 2010.

[4]        Jianqiang Yi, Lihua Duan, Yaping Dai, Fangyan Dong, and Benhui Chen: 第三届国际计算智能和工业应用研讨会论文集,电子工业出版社ISBN978-7-121-07587-2, 2009. 

国际期刊论文

[1]          Zhiqiang Pu, Huimu Wang*, Zhen Liu, Jianqiang Yi, and Shiguang Wu: Attention Enhanced Reinforcement Learning for Multi-Agent Cooperation, IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2022.3146858.

[2]          Tianle Zhang, Zhen Liu*, Jianqiang Yi, Shiguang Wu, Zhiqiang Pu, and Yanjie Zhao: Multiexperience-Assisted Efficient Multiagent Reinforcement Learning, IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2023.3264275.

[3]          Jinlin Sun*, Zhiqiang Pu, Yafei Chang, Shihong Ding, and Jianqiang Yi: Appointed-Time Control for Flexible Hypersonic Vehicles with Conditional Disturbance Negation, IEEE Transactions on Aerospace and Electronic Systems, DOI: 10.1109/TAES.2023.3274098.

[4]          Zhiqiang Pu*, Huimu Wang, Boyin Liu, and Jianqiang Yi: Cognition-Driven Multi-Agent Policy Learning Framework for Promoting Cooperation, IEEE Transactions on Games, DOI: 10.1109/TG.2022.3186386.

[5]          Tianle Zhang, Zhen Liu*, Zhiqiang Pu, and Jianqiang Yi: Peer Incentive Reinforcement Learning for Cooperative Multi-Agent Games, IEEE Transactions on Games, DOI: 10.1109/TG.2022.3196925.

[6]          Boyin Liu, Zhiqiang Pu*, Tianle Zhang, Huimu Wang, Jianqiang Yi, and Jiachen Mi: Learning to Play Football from Sports Domain Perspective: A Knowledge-Embedded Deep Reinforcement Learning Framework, IEEE Transactions on Games, DOI: 10.1109/TG.2022.3207068.

[7]          Shiguang Wu, Zhiqiang Pu*, Tenghai Qiu, Jianqiang Yi, and Tianle Zhang: Deep Reinforcement Learning based Multi-Target Coverage with Connectivity Guaranteed, IEEE Transactions on Industrial Informatics, Vol.19, No.1, pp. 121-132 (2023).

[8]          Lihui Ding, Jinlin Sun*, Shihong Ding, Zhiqiang Pu, and Jianqiang Yi: Adaptive Fuzzy Appointed-Time Control for Uncertain Systems Bounded by Positive Functions, IEEE Transactions on Circuits and Systems II: Express Briefs, Vol.70, No.4, pp.1540-1544 (2023).

[9]          Tianle Zhang, Zhen Liu*, Zhiqiang Pu, and Jianqiang Yi: Automatic Curriculum Learning for Large-Scale Cooperative Multiagent Systems, IEEE Transactions on Emerging Topics in Computational Intelligence, Vol.7, No.3, pp.912-930 (2023).

[10]      Zhiqiang Pu*, Tianle Zhang, Xiaolin Ai, Tenghai Qiu, and Jianqiang Yi: A Deep Reinforcement Learning Approach Combined with Model-based Paradigms for Multi-agent Formation Control with Collision Avoidance, IEEE Transactions on Systems, Man and Cybernetics: Systems, Vol.53, No.7, pp.4189-4204 (2023).

[11]      Jinlin Sun, Jianqiang Yi, and Zhiqiang Pu*: Fixed-Time Adaptive Fuzzy Control for Uncertain Nonstrict-Feedback Systems with Time-Varying Constraints and Input Saturations, IEEE Transactions on Fuzzy Systems, Vol.30, No.4, pp.1114-1128 (2022).

[12]      Jinlin Sun, Haibo He*, Jianqiang Yi, and Zhiqiang Pu: Finite-Time Command Filtered Composite Adaptive Neural Control of Uncertain Nonlinear Systems, IEEE Transactions on Cybernetics, Vol.52. No.7, pp.6809-6821 (2022).

[13]      Xinlong Tao, Jianqiang Yi, Zhiqiang Pu, and Tianyi Xiong: Robust Adaptive Tracking Control for Hypersonic Vehicle Based on Interval Type-2 Fuzzy Logic System and Small Gain Approach, IEEE Transactions on Cybernetics, Vol.51, No.5, pp.2504-2517 (2021).

[14]      Zezhi Sui, Zhiqiang Pu, Jianqiang Yi, and Shiguang Wu: Formation Control with Collision Avoidance through Deep Reinforcement Learning using Model-Guided Demonstration, IEEE Transactions on Neural Networks and Learning Systems, Vol.32, No.6, pp. 2358-2372 (2021).

[15]      Zhiqiang Pu, Jinlin Sun, Jianqiang Yi, and Zhiqiang Gao: On the Principle and Applications of Conditional Disturbance Negation, IEEE Transactions on Systems, Man and Cybernetics: Systems, Vol.51, No.11, pp.6757-6767 (2021).

[16]      Tianyi Xiong, Zhou Gu, Jianqiang Yi, and Zhiqiang Pu: Fixed-time Adaptive Observer-based Time-varying Formation Control for Multi-agent Systems with Directed Topologies, Neurocomputing, Vol.463, pp.483-494 (2021).

[17]      Jinlin Sun, Zhiqiang Pu, Jianqiang Yi, and Zhen Liu: Fixed-Time Control with Uncertainty and Measurement Noise Suppression for Hypersonic Vehicles via Augmented Sliding Mode Observers, IEEE Transactions on Industrial Informatics, Vol.16, No.2, pp.1192-1203 (2020).

[18]      Jinlin Sun, Jianqiang Yi, Zhiqiang Pu, and Xiangmin Tan: Fixed-Time Sliding Mode Disturbance Observer Based Nonsmooth Backstepping Control for Hypersonic Vehicles, IEEE Transactions on Systems, Man and Cybernetics: Systems, Vol.50, No.11, pp.4377-4386 (2020).

[19]      Jinlin Sun, Jianqiang Yi, Zhiqiang Pu, and Zhen Liu: Adaptive Fuzzy Nonsmooth Backstepping Output-Feedback Control for Hypersonic Vehicles with Finite-Time Convergence, IEEE Transactions on Fuzzy Systems, Vol.28, No.10, pp.2320-2334 (2020).

[20]      Tianyi Xiong, Zhiqiang Pu, Jianqiang Yi, and Xinlong Tao: Fixed-time Observer Based Adaptive Neural Network Time-varying Formation Tracking Control for Multi-agent Systems via Minimal Learning Parameter Approach, IET Control Theory & Applications, Vol.14, No.9, pp.1147-1157 (2020).

[21]      Chengdong Li, Jianqiang Yi, Hongkai Wang, Guiqing Zhang, and Junqing Li: Interval Data Driven Construction of Shadowed Sets with Applications to Linguistic Word Modelling, Information Sciences, Vol.507, pp.503-521 (2020).

[22]      Wei Peng, Chengdong Li, Guiqing Zhang, and Jianqiang Yi: Interval Type-2 Fuzzy Logic Based Transmission Power Control for Lifetime Maximization of WSNs, Engineering Applications of Artificial Intelligence, Vol.87, Article Number UNSP 103269 (2020).

[23]      Xinlong Tao, Jianqiang Yi, Zhiqiang Pu, and Tianyi Xiong: State-Estimator-Integrated Robust Adaptive Tracking Control for Flexible Air-breathing Hypersonic Vehicle with Noisy Measurements, IEEE Transactions on Instrumentation and Measurement, Vol.68, No.11, pp.4285-4299 (2019).

[24]      Jinlin Sun, Zhiqiang Pu, and Jianqiang Yi: Conditional Disturbance Negation based Active Disturbance Rejection Control for Hypersonic Vehicles, Control Engineering Practice, Vol.84, pp.159-171 (2019).

[25]      Jinlin Sun, Zhiqiang Pu, and Jianqiang Yi: Augmented Fixed-Time Observer-based Continuous Robust Control for Hypersonic Vehicles with Measurement Noises, IET Control Theory & Applications, Vol.13, No.3, pp.422-433 (2019).

[26]      Yifan Liu, Jinlin Sun, Zhiqiang Pu, Jianqiang Yi, and Shiliang Pu: Robust Fuzzy Tracking Control for Flexible Air-breathing Hypersonic Vehicles with Measurement Noise, Transactions of the Institute of Measurement and Control, Vol.41, No.13, pp.3818-3835 (2019).

[27]      Chao Han, Zhen Liu, and Jianqiang Yi: Immersion and Invariance Adaptive Finite-time Control of Air-breathing Hypersonic Vehicles, Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, Vol.233, No.7, pp.2626-2641 (2019).

[28]      Chengdong Li, Jianqiang Yi, Yisheng Lv, and Peiyong Duan: A Hybrid Learning Method for the Data-Driven Design of Linguistic Dynamic Systems, IEEE/CAA Journal of Automatica Sinica, Vol.6, No.6, pp.1487-1498 (2019).

[29]      Chengdong Li, Junlong Gao, Jianqiang Yi, and Guiqing Zhang: Analysis and Design of Functionally Weighted Single-Input-Rule-Modules Connected Fuzzy Inference Systems, IEEE Transactions on Fuzzy Systems, Vol.26, No.1, pp.56-71 (2018).

[30]      Yifan Liu, Zhiqiang Pu, and Jianqiang Yi: Observer-based Robust Adaptive Type-2 Fuzzy Tracking Control of Flexible Air-breathing Hypersonic Vehicles, IET Control Theory and Applications, Vol.12, No.8, pp.1036-1045 (2018).

[31]      Chao Han, Zhen Liu, and Jianqiang Yi: Immersion and Invariance Adaptive Control with σ-modification for Uncertain Nonlinear Systems, Journal of the Franklin Institute, Vol.355, No.5, pp.2091-2111 (2018).

[32]      Chengdong Li, Guiqing Zhang Jianqiang Yi, Fang Shang, and Junlong Gao: A Fast Learning Method for Data-driven Design of Interval Type-2 Fuzzy Logic System, Journal of Intelligent & Fuzzy Systems, Vol.32, pp.2705-2715 (2017).

[33]      Zhen Liu, Xiangmin Tan, Ruyi Yuan, Guoliang Fan, and Jianqiang Yi: Immersion and Invariance based Output Feedback Control of Air-Breathing Hypersonic Vehicles, IEEE Transactions on Automation Science and Engineering, Vol.13, No.1, pp.394-402 (2016). 

[34]      Yafei Chang, Ruyi Yuan, Xiangmin Tan, and Jianqiang Yi: Observer-based Adaptive Sliding Mode Control and Fuzzy Allocation for Aero and Reaction Jets' Missile, Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering, Vol.230, No.6, pp.498-511 (2016).

[35]      Huan Du, Guoliang Fan, and  Jianqiang Yi: Nonlinear Longitudinal Attitude Control of an Unmanned Seaplane with Wave Filtering, International Journal of Automation and Computing, Vol.13, No.6, pp.634-642 (2016).

[36]      Chengdong Li, Yisheng Lv, Jianqiang Yi, and Guiqing Zhang: Pruned Fast Learning Fuzzy Approach for Data-Driven Traffic Flow Prediction, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.20, No.7, pp.1181-1191 (2016).

[37]      Zhiqiang Pu, Ruyi Yuan, Jianqiang Yi, and Xiangmin Tan: A Class of Adaptive Extended State Observers for Nonlinear Disturbed Systems, IEEE Transactions on Industrial Electronics, Vol.92, No.9, pp.5858-5869 (2015). 

[38]      Tiechao Wang, Shaocheng Tong, Jianqiang Yi, and Hongyi Li: Adaptive Inverse Control of Cable-Driven Parallel System Based on Type-2 Fuzzy Logic Systems, IEEE Transactions on Fuzzy Systems, Vol.23, No.5, pp.1803-1816 (2015).

[39]      Zhen Liu, Xiangmin Tan, Ruyi Yuan, Guoliang Fan and Jianqiang Yi: Adaptive Trajectory Tracking Control System Design for Hypersonic Vehicles with Parametric Uncertainty, Proceedings of the Institute of Mechanical Engineers, Part G: Journal of Aerospace Engineering, Vol.229, No.1, pp.119-134 (2015). 

[40]      Zhiqiang Pu, Ruyi Yuan, Xiangmin Tan, and Jianqiang Yi: Active Robust Control of Uncertainty and Flexibility Suppression for Air-Breathing Hypersonic Vehicles, Aerospace Science and Technology, Vol.42, pp.429-441 (2015). 

[41]      Chengdong Li, Jianqiang Yi, and Guiqing Zhang: On the Monotonicity of Interval Type-2 Fuzzy Logic Systems, IEEE Transactions on Fuzzy Systems, Vol.22, No.5, pp.1197-1212 (2014). 

[42]      Ruyi Yuan, Xiangmin Tan, Guoliang Fan, and Jianqiang Yi: Robust Adaptive Neural Network Control for a Class of Uncertain Nonlinear Systems with Actuator Amplitude and Rate Saturations, Neurocomputing, Vol.125, No.72-80 (2014). 

[43]      Huan Du, Guoliang Fan, and Jianqiang Yi: Autonomous Takeoff Control System Design for Unmanned Seaplanes, Ocean Engineering, Vol.85, pp.21-31(2014). 

[44]      Zhiqiang Pu, Xiangmin Tan, Guoliang Fan, and Jianqiang Yi: Uncertainty Analysis and Robust Trajectory Linearization Control of a Flexible Air-Breathing Hypersonic Vehicle, Acta Astronautica, Vol.101, pp.16-32 (2014). 

[45]      Dianwei Qian, Jianqiang Yi, and Shiwen Tong: Understanding Neighborhood of Linearization in Undergraduate Control Education, IEEE Control System Magazine, Vol.33, No.4, pp. 54-60 (2013). 

[46]      Dianwei Qian, Dongbin Zhao, Jianqiang Yi, and Xiangjie Liu: Neural Sliding-Mode Load Frequency Controller Design of Power Systems, Neural Computing & Applications, Vol.22, No.2, pp.279-286 (2013).  

[47]      Dianwei Qian, Shiwen Tong, and Jianqiang Yi: Adaptive Control Based on Incremental Hierarchical Sliding Mode for Overhead Crane Systems, Applied mathematics and information sciences, Vol.7, No.4, pp.1359-1364 (2013).

[48]      Chengdong Li, Guiqing Zhang, Ming Wang, and Jianqiang Yi: Data-Driven Modeling and Optimization of Thermal Comfort and Energy Consumption Using Type-2 Fuzzy Method, Soft Computing, Vol.17, pp.2075-2088 (2013).

[49]      Chengdong Li, Guiqing Zhang, Jianqiang Yi, and Ming Wang: Uncertainty Degree and Modeling of Interval Type-2 Fuzzy Sets: Definition, Method and Application, Computers and Mathematics with Applications, Vol.66, pp.1822-1835 (2013).

[50]      Chengdong Li, Jianqiang Yi, Ming Wang, and Guiqing Zhang: Monotonic Type-2 Fuzzy Neural Network and Its Application to Thermal Comfort Prediction, Neural Computing & Applications, Vol.13, No.3, pp.1-12 (2012)

[51]      Dianwei Qian, Xiangjie Liu, Jianqiang Yi, and Chengdong Li: Neuro-Hierarchical Sliding Mode Control for a Class of Under-Actuated Systems, International Journal of Modelling, Identification and Control, Vol. 13, No. 4, pp.243-250(2011).

[52]      Tiechao Wang and Jianqiang Yi: Unnormalized Interval Type-2 TSK Fuzzy Logic System Design based on Convexity and Sample Data, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.15, No.3, pp.345-350(2011).

[53]      Chengdong Li, Jianqiang Yi, and Tiechao Wang: Encoding Prior Knowledge into Data Driven Design of Interval Type-2 Fuzzy Logic Systems, International Journal of Innovative Computing, Information and Control, Vol.7, No.3, pp.1133-1144(2011) 

[54]      Dianwei Qian, Jianqiang Yi, Xiangjie Liu, Guotian Yang, and Miaoxin Wang: Robust Control by Sliding Mode for a Class of Uncertain Underactuated Systems with Saturation, Control and Intelligent Systems, Vol.38, No.2, pp.87-94(2010).

[55]      Chengdong Li and Jianqiang Yi: SIRMS based Interval Type-2 Fuzzy Inference Systems: Properties and Application, International Journal of Innovative Computing, Information and Control, Vol.6, No.9, pp.4019-4028(2010). 

[56]      Dong Xu, Dongbin Zhao, Jianqiang Yi, and Xiangmin Tan: Trajectory Tracking Control of Omnidirectional Wheeled Mobile Manipulators: Robust Neural Network based Sliding Mode Approach, IEEE Transactions on Systems, Man, and Cybernetics - Part B, Vol.30, No.3, pp. 788-799(2009).  

[57]      Dongbin Zhao, Xuyue Deng, and Jianqiang Yi: Motion and Internal Force Control for Omnidirectional Wheeled Mobile Robots, IEEE/ASME Transactions on Mechatronics, Vol.14, No.3, pp.382-387(2009).  

[58]      Weirong Liu, Jianqiang Yi, and Dongbin Zhao: Genetic Algorithm-based Fuzzy Controller to Avoid Network Congestion, Intelligent Automation and Soft Computing, Vol.15, No.2(SI), pp.237-248 (2009). 

[59]      Dianwei Qian, Xiangjie Liu, and Jianqiang Yi: Robust Sliding Mode Control for a Class of Underactuated Systems with Mismatched Uncertainties, Proc. IMechE, Part I: Journal of Systems and Control Engineering, Vol.223, No.6, pp.785-795(2009).  

[60]      Xuerui Bai, Dongbin Zhao, and Jianqiang Yi: The Application of ADHDP(λ) Method to Coordinated Multiple Ramps Metering, International Journal of Innovative Computing, Information and Control, Vol.5, No.10(B), pp.3471-3481(2009). 

[61]      Xiangmin Tan, Dongbin Zhao, Jianqiang Yi, and Dong Xu: Adaptive Integrated Control for Omnidirectional Mobile Manipulators based on Neural-Network, International Journal of Cognitive Informatics and Natural Intelligence, Vol.3, No.4, pp.34-53 (2009). 

[62]      Dianwei Qian, Jianqiang Yi, and Dongbin Zhao: Hierarchical Sliding Mode Control for a Class of SIMO Under-Actuated Systems, Control and Cybernetics, Vol.37, No.1, pp.159-175, (2008). 

[63]      Diantong Liu, Weiping Guo, and Jianqiang Yi: Dynamics and GA-Based Stable Control for a Class of Underactuated Mechanical Systems, International Journal of Control, Automation, and Systems, Vol.6, No.1, pp.35-43, (2008).  

[64]      Yuequan Yang, Zhiqiang Cao, Tan Min, and Jianqiang Yi: Fairness and Dynamic Flow Control in both Unicast and Multicast Architecture Networks, IEEE Transactions on Systems, Man, and Cybernetics - Part C: Applications and Reviews, Vol.37, No.2, pp.206-212 (2007).  

[65]      Wei Wang, Xiangdong Liu, and Jianqiang Yi: Structure Design of Two Types of Sliding-Mode Controller for a Class of Under-actuated Mechanical Systems, IET Control Theory & Applications, Vol.1, No.1, pp.163-172 (2007).  

[66]      Jin Cheng, Jianqiang Yi, and Dongbin Zhao: Design of a Sliding Mode Controller for Trajectory Tracking Problem of Marine Vessels, IET Control Theory & Applications, Vol.1, No.1, pp.233-237 (2007).  

[67]      Jianqiang Yi, Qian Wang, Dongbin Zhao, and John T. Wen: BP Neural Network Prediction-based Variable-Period Sampling Approach for Networked Control System, Applied Mathematics and Computation, Vol.185, No.2, pp.976-988 (2007). 

[68]      Xuesong Wang, Yuhu Cheng, and Jianqiang Yi: A Fuzzy Actor-Critic Reinforcement Learning Network, Information Sciences, Vol.177, No.18, pp.3764-3781 (2007).  

[69]      Peng Shi, Magdi S. Mahmoud, Jianqiang Yi, and Abdulla Ismail: Worst Case Control of Uncertain Jumping Systems with Multi-State and Input Delay Information, Information Sciences, Vol.176, No.2, pp.186-200 (2006).  

[70]      Magdi S. Mahmoud, Peng Shi, Jianqiang Yi, and Jeng-Shyang Pan: Robust Observers for Neutral Jumping Systems with Uncertain Information, Information Sciences, Vol.176, No.16, pp.2355-2385 (2006).  

[71]      Dongbin Zhao and Jianqiang Yi: GA-based Control to Swing up an Acrobat with Limited Torque, Transactions of the Institute of Measurement and Control, Vol.28, No.1, pp.3-13 (2006).  

[72]      Diantong Liu, Jianqiang Yi, Dongbin Zhao, and Wei Wang: Adaptive Sliding Mode Fuzzy Control for a Two-Dimensional Overhead Crane, Mechatronics, Vol.15, No.5, pp.505-522 (2005).  

[73]      Zuoshi Song, Jianqiang Yi, Dongbin Zhao, and Xinchun Li: A Computed Torque Controller for Uncertain Robotic Manipulator Systems: Fuzzy Approach, Fuzzy Sets and Systems, Vol.154, No.2, pp.208-226 (2005).  

[74]      Wei Wang, Jianqiang Yi, Dongbin Zhao, and Diantong Liu: Design of a New Stable Sliding-Mode Controller for a Class of Second-Order Underactuated Systems, IEE Control Theory & Applications, Vol.151, No.6, pp.683-690 (2004).  

[75]      Fenghui Yao, Guifeng Shao, and Jianqiang Yi: Trajectory Generation of the Writing-Brush for a Robot Arm to Inherit Block-Style Chinese Character Calligraphy Techniques, Advanced Robotics, Vol.18, No.3, pp.331-356 (2004).  

[76]      Fenghui Yao, Guifeng Shao, and Jianqiang Yi: Extracting the Trajectory of Writing Brush in Chinese Character Calligraphy, Engineering Application of Artificial Intelligence, Vol.17, No.6, pp.631-644 (2004).  

[77]      Jianqiang Yi, Naoyoshi Yubazaki, and Kaoru Hirota: Anti-Swing and Positioning Control of Overhead Traveling Crane, Information Sciences, Vol.155, No.1-2, pp.19-42 (2003).  

[78]      Jianqiang Yi, Naoyoshi Yubazaki, and Kaoru Hirota: A Proposal of SIRMs Dynamically Connected Fuzzy Inference Model for Plural Input Fuzzy Control, Fuzzy Sets and Systems, Vol.125, No.1, pp.79-92 (2002).  

[79]      Jianqiang Yi, Naoyoshi Yubazaki, and Kaoru Hirota: A New Fuzzy Controller for Stabilization of Parallel-Type Double Inverted Pendulum System, Fuzzy Sets and Systems, Vol.126, No.1, pp.105-119 (2002).  

[80]      Jianqiang Yi, Naoyoshi Yubazaki, and Kaoru Hirota: Upswing and Stabilization Control of Inverted Pendulum System based on the SIRMs Dynamically Connected Fuzzy Inference Model, Fuzzy Sets and Systems, Vol.122, No.1, pp.135-152 (2001).  

[81]      Jianqiang Yi, Naoyoshi Yubazaki, and Kaoru Hirota: Stabilization Control of Series-Type Double Inverted Pendulum Systems Using the SIRMs Dynamically Connected Fuzzy Inference Model, Artificial Intelligence in Engineering, Vol.15, No.3, pp.297-308 (2001).  

[82]      Jianqiang Yi and Naoyoshi Yubazaki: Stabilization Fuzzy Control of Inverted Pendulum Systems, Artificial Intelligence in Engineering, Vol.14, No.2, pp.153-163 (2000). 


主要国际会议论文
[1]             Boyin Liu, Zhiqiang Pu, Yi Pan, Jianqiang Yi, Yanyan Liang, and Du Zhang: Lazy Agent: A New Perspective on Solving Sparse Reward Problem in Multi-agent Reinforcement Learning, The 40th International Conference on Machine Learning (ICML 2023), Honolulu, Hawaii, USA, July 23-29, 2023. Accepted.
[2]             Qingxu Fu, Xiaolin Ai*, Jianqiang Yi, Tenghai Qiu, Wanmai Yuan, and Zhiqiang Pu: Learning Heterogeneous Agent Cooperation via Multiagent League Training, IFAC World Congress (IFAC 2023), Yokohama, Japan, July 9-14, 2023. Accepted. 
[3]             Lexing Wang*, Tenghai Qiu, Zhiqiang Pu, Jianqiang Yi, and Yanjie Zhao: A Decision-making Method for Swarm Agents in Attack-defense Confrontation, IFAC World Congress (IFAC 2023), Yokohama, Japan, July 9-14, 2023. Accepted. 
[4]             Min Chen, Zhiqiang Pu*, Yi Pan, and Jianqiang Yi: All for Goals: A Stylized Automated Analysis Framework in Football Matches, 2023 International Joint Conference on Neural Networks (IJCNN 2023), Gold Coast, Australia, June 18-23, 2023. Accepted.
[5]             Qingxu Fu, Tenghai Qiu*, Zhiqiang Pu, Jianqiang Yi, Xiaolin Ai, and Wanmai Yuan: Learning Superior Cooperative Policy in Competitive Multi-team Reinforcement Learning, 2023 International Joint Conference on Neural Networks (IJCNN 2023), Gold Coast, Australia, June 18-23, 2023. Accepted. 
[6]             Shijie Wang, Yi Pan*, Zhiqiang Pu, and Jianqiang Yi: Heterogeneous-graph Attention Reinforcement Learning for Football Matches, 2023 International Joint Conference on Neural Networks (IJCNN 2023), Gold Coast, Australia, June 18-23, 2023. Accepted.
[7]             Tianle Zhang, Zhen Liu*, Zhiqiang Pu, Jianqiang Yi, Xiaolin Ai, and Wanmai Yuan: Learning Cooperative Policies with Graph Networks in Distributed Swarm Systems, 2023 International Joint Conference on Neural Networks (IJCNN 2023), Gold Coast, Australia, June 18-23, 2023. Accepted. 
[8]             Lexing Wang, Tenghai Qiu, Zhiqiang Pu, Jianqiang Yi, and Jinying Zhu: A Knowledge-based Autonomous Decision-making Method for Agents in Asymmetric Confrontation, 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE 2023), Auckland, New Zealand, August 26-29, 2023. Accepted. 
[9]             Shijie Wang, Yi Pan*, Zhiqiang Pu, Boyin Liu, and Jianqiang Yi: Deconfounded Opponent Intention Inference for Football Multi-Player Policy Learning, 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023), Detroit, Michigan, USA, October 1-5, 2023. Accepted.

[10]         Qingxu Fu, Tenghai Qiu*, Jianqiang Yi, and Zhiqiang Pu: Concentration Policy Gradient in Reinforcement Learning for Large-Scale Multi-Agent Systems, Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-2022), Vancouver, Canada, February 22 - March 1, 2022, pp.9341-9349.

[11]         Tianle Zhang, Zhen Liu*, Zhiqiang Pu, and Jianqiang Yi: Multi-Target Encirclement with Collision Avoidance via Deep Reinforcement Learning using Relational Graphs, 2022 International Conference on Robotics and Automation (ICRA 2022), Philadelphia, USA, May 20-26, 2022, pp.8794-8800.

[12]         Lexing Wang, Zhiqiang Pu*, Tenghai Qiu, and Jianqiang Yi: A Selected Interaction Swarming Algorithm for Connected Dynamic Coverage of Mobile Sensor Networks, 2022 American Control Conference (ACC 2022), Atlanta, USA, June 8-10, 2022, pp.4465-4470.

[13]         Tianle Zhang, Zhen Liu*, ShiguangWu, Zhiqiang Pu, and Jianqiang Yi: Intrinsic Reward with Peer Incentives for Cooperative Multi-Agent Reinforcement Learning, 2022 International Joint Conference on Neural Networks (IJCNN2022), Padua, Italy, July 18-23, 2022.

[14]         Shiguang Wu, Tenghai Qiu*, Zhiqiang Pu, Jianqiang Yi: Multi-Agent Local Information Reconstruction for Situational Cognition, 2022 International Joint Conference on Neural Networks (IJCNN2022), Padua, Italy, July 18-23, 2022.

[15]         Qingxu Fu, Tenghai Qiu*, Jianqiang Yi, and Zhiqiang Pu: A Cooperation Graph Approach for Multiagent Sparse Reward Reinforcement Learning, 2022 International Joint Conference on Neural Networks (IJCNN2022), Padua, Italy, July 18-23, 2022.

[16]         Tianle Zhang, Tenghai Qiu*, Zhen Liu, Zhiqiang Pu, Jianqiang Yi, Jinying Zhu, and Ruiguang Hu: Multi-UAV Cooperative Short-Range Combat via Attention-Based Reinforcement Learning using Individual Reward Shaping, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022), Kyoto, Japan, October 23-27, 2022, pp.13737-13744.

[17]         Min Chen, Zhiqiang Pu*, Yi Pan, and Jianqiang Yi: Knowledge Transfer from State Evaluation to Multi-agent Reinforcement Learning, The 29th International Conference on Neural Information Processing (ICONIP 2022), New Delhi, India, November 22-26, 2022. Communications in Computer and Information Science (CCIS), Vol. 1791, pp3-14, 2023.

[18]         Boyin Liu, Zhiqiang Pu*, Junlong Gao, Jianqiang Yi, and Zhenyu Guo: Tacit Commitments Emergence in Multi-agent Reinforcement Learning, The 29th International Conference on Neural Information Processing (ICONIP 2022), New Delhi, India, November 22-26, 2022. Lecture Notes in Computer Science (LNCS), Vol. 13623, pp.27-36, 2023. 

[19]         Shiguang Wu, Zhiqiang Pu, Zhen Liu, Tenghai Qiu, Jianqiang Yi, and Tianle Zhang: Multi-target Coverage with Connectivity Maintenance using Knowledge-incorporated Policy Framework, 2021 IEEE International Conference on Robotics and Automation (ICRA 2021), Xi’an, China, May 30 - June 5, 2021, pp.8772-8778.

[20]         Huimu Wang, Tenghai Qiu, Zhen Liu, Zhiqiang Pu, Jianqiang Yi, and Wanmai Yuan: Multi-Agent Cognition Difference Reinforcement Learning for Multi-Agent Cooperation, 2021 International Joint Conference on Neural Networks (IJCNN2021), Shenzhen, China, July 18-22, 2021.

[21]         Shiguang Wu, Tenghai Qiu, Zhiqiang Pu, Jianqiang Yi: Multi-agent Collaborative Learning with Relational Graph Reasoning in Adversarial Environments, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021), Prague, Czech, Sept 27 - Oct 1, 2021, pp.5596-5602.

[22]         Tianle Zhang, Zhen Liu, Zhiqiang Pu, Jianqiang Yi: Semantic Perception Swarm Policy with Deep Reinforcement Learning, 28th International Conference on Neural Information Processing (ICONIP 2021), Bali, Indonesia, December 8-12, 2021. Lecture Notes in Computer Science, Vol.13110, pp. 112-124, 2021.

[23]         Zhen Liu, Zhiqiang Pu, Tenghai Qiu, Huimu Wang, and Jianqiang Yi: Immersion and Invariance Based Composite Adaptive Control for Nonlinear Systems with Both Parametric and Non-Parametric Uncertainties, The 21st World Congress of the International Federation of Automatic Control (IFAC 2020), Berlin, Germany, July 12-17, 2020. IFAC PapersOnLine 53-2 (2020) 3867-3873.

[24]         Huimu Wang, Tenghai Qiu, Zhen Liu, Zhiqiang Pu, and Jianqiang Yi: Multi-agent Formation Control with Obstacles Avoidance under Restricted Communication through Graph Reinforcement Learning, The 21st World Congress of the International Federation of Automatic Control (IFAC 2020), Berlin, Germany, July 12-17, 2020. IFAC PapersOnLine 53-2 (2020) 8150-8156.

[25]         Tianle Zhang, Tenghai Qiu, Zhiqiang Pu, Zhen Liu, and Jianqiang Yi: Robot Navigation among External Autonomous Agents through Deep Reinforcement Learning using Graph Attention Network, The 21st World Congress of the International Federation of Automatic Control (IFAC 2020), Berlin, Germany, July 12-17, 2020. IFAC PapersOnLine 53-2 (2020) 9465-9470.

[26]         Tianle Zhang, Zhen Liu, Shiguang Wu, Zhiqiang Pu, and Jianqiang Yi: Multi-Robot Cooperative Target Encirclement through Learning Distributed Transferable Policy, Proceedings of 2020 International Joint Conference on Neural Networks (IJCNN2020), Glasgow, UK, July 19-24, 2020. 

[27]         Huimu Wang, Zhiqiang Pu, Zhen Liu, and Jianqiang Yi: A Soft Graph Attention Reinforcement Learning for Multi-Agent Cooperation, 2020 IEEE International Conference on Automation Science and Engineering (CASE 2020), Hongkong, China, August 20-24, 2020, pp.1257-1262.

[28]         Shiguang Wu, Zhiqiang Pu, Jianqiang Yi, Jinlin Sun, and Tianyi Xiong: Adaptive Flocking of Multi-Agent System with Uncertain Nonlinear Dynamics and Unknown Disturbances Using Neural Networks, 2020 IEEE International Conference on Automation Science and Engineering (CASE 2020), Hongkong, China, August 20-24, 2020, pp.1090-1095.

[29]         Linlin Shang, Wei Wang, and Jianqiang Yi: Active Impact Motion for a Quadruped Robot, 2020 IEEE International Conference on Automation Science and Engineering (CASE 2020), Hongkong, China, August 20-24, 2020, pp.1049-1055.

[30]         Huimu Wang, Zhen Liu, Zhiqiang Pu, and Jianqiang Yi: STGA-LSTM: A Spatial-Temporal Graph Attentional LSTM Scheme for Multi-Agent Cooperation, 27th International Conference on Neural Information Processing (ICONIP 2020), Bangkok, Thailand, November 18-22, 2020. Lecture Notes in Computer Science, Vol.12533, pp. 663-675, 2020.

[31]         Shiguang Wu, Zhiqiang Pu, Jianqiang Yi, and Huimu Wang: Multi-agent Cooperation and Competition with Two-level Attention Network, 27th International Conference on Neural Information Processing (ICONIP 2020), Bangkok, Thailand, November 18-22, 2020. Lecture Notes in Computer Science, Vol.12533, pp.524-535, 2020.

[32]         Zezhi Sui, Zhiqiang Pu, Jianqiang Yi, and Tianyi Xiong: Formation Control with Collision Avoidance through Deep Reinforcement Learning, Proceedings of 2019 International Joint Conference on Neural Networks (IJCNN2019), Budapest, Hungary, July 14-19, 2019, Paper N-19932.

[33]         Tianyi Xiong, Zhiqiang Pu, Jianqiang Yi, and Zezhi Sui: Adaptive Neural Network Time-varying Formation Tracking Control for Multi-agent Systems via Minimal Learning Parameter Approach, Proceedings of 2019 International Joint Conference on Neural Networks (IJCNN2019), Budapest, Hungary, July 14-19, 2019, Paper N-19935.

[34]         Linlin Shang, Wei Wang, and Jianqiang Yi: Design and Gait Control of A Quadruped Robot with Low-Inertia Legs, Proceedings of 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE 2019), Vancouver, BC, Canada, August 22-26, 2019, pp.1511-1516.

[35]         Chao Han, Zhen Liu, and Jianqiang Yi: A New Robust Adaptive Control for Uncertain Nonlinear Systems, Proceedings of 2018 American Control Conference (ACC2018), Wisconsin, Milwaukee, USA, June 27-29, 2018, pp.4050-4055.

[36]         Yifan Liu, Jianqiang Yi, Ruyi Yuan, and Zhiqiang Pu: Adaptive Type-2 Fuzzy Control for Flexible Air-breathing Hypersonic Vehicles with Measurement Noises, Proceedings of 2018 American Control Conference (ACC2018), Wisconsin, Milwaukee, USA, June 27-29, 2018, pp.1485-1490.

[37]         Xinlong Tao, Jianqiang Yi, Xiangmin Tan, Zhen Liu, and Chao Han: Robust Adaptive Control for a Class of Nonlinear Systems Based on Interval Type-2 Fuzzy Logic System and Small Gain Approach, Proceedings of 2018 American Control Conference (ACC2018), Wisconsin, Milwaukee, USA, June 27-29, 2018, pp.4062-4067.

[38]         Jinlin Sun, Jianqiang Yi, Xiangmin Tan, and Zhiqiang PuRobust chattering-free control for flexible air-breathing hypersonic vehicles in the presence of disturbances and measurement noises, Proceedings of 2018 American Control Conference (ACC2018), Wisconsin, Milwaukee, USA, June 27-29, 2018, pp.2264-2269.

[39]         Yifan Liu, Jianqiang Yi, and Zhiqiang Pu: Desired Compensation Based Adaptive Fuzzy Control for Hypersonic Vehicle with Measurement Noises, Proceedings of the 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2018), Rio De Janeiro, Brazil, July 8-13, 2018, pp.799-805.

[40]         Zezhi Sui, Zhiqiang Pu, Jianqiang Yi, and Xiangmin Tan: Multiagent Constrained Formation Path Planning with Obstacles Avoidance through Deep Reinforcement Learning, Proceedings of 2018 International Joint Conference on Neural Networks (IJCNN2018), Rio De Janeiro, Brazil, July 8-13, 2018, 4038-4045.

[41]         Tianyi Xiong, Zhiqiang Pu, and Jianqiang Yi: Neural Network based Distributed Adaptive Time-varying Formation Control for Multi-UAV Systems with Varying Time Delays, Proceedings of 2018 International Joint Conference on Neural Networks (IJCNN2018), Rio De Janeiro, Brazil, July 8-13, 2018, pp.1265-1271.

[42]         Xinlong Tao, Jianqiang Yi, Xiangmin Tan, and Zhen Liu: On the Design of Fuzzy Adaptive State Estimator for a Flexible Air-breathing Hypersonic Vehicle, Proceedings of 14th IEEE International Conference on Automation Science and Engineering (CASE2018), Munich, Germany, August 20-24, 2018, pp.104-109.

[43]         Tianyi Xiong, Zhiqiang Pu, Jianqiang Yi, and Xinlong Tao: Consensus Based Formation Control for Multi-UAV Systems with Time-varying Delays and Jointly Connected Topologies, Proceedings of 14th IEEE International Conference on Automation Science and Engineering (CASE2018), Munich, Germany, August 20-24, 2018, pp.292-297.

[44]         Xiaoqi Li, Wei Wang, and Jianqiang Yi: Ground Substrate Classification for Adaptive Quadruped Locomotion, Proceedings of 2017 IEEE International Conference on Robotics and Automation (ICRA 2017), Singapore, May 29-June 3, 2017, pp.3237-3243.

[45]         Junlong Gao, Ruyi Yuan, Jianqiang Yi, and Chengdong Li: Indirect Adaptive Interval Type-2 Fuzzy Sliding Mode Controller Design for Flexible Air-Breathing Hypersonic Vehicles, Proceedings of the 20th World Congress of the International Federation of Automatic Control (IFAC 2017), Toulouse, France, July 9-14, 2017, pp.3062-3068.

[46]         Xinlong Tao, Jianqiang Yi, Ruyi Yuan, and Zhen Liu: Control of a Flexible Air-breathing Hypersonic Vehicle with Measurement Noises Using Adaptive Interval Type-2 Fuzzy Logic System, Proceedings of the 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017), Naples, Italy, July 9-12, 2017.

[47]         Junlong Gao, Jianqiang Yi, Zhiqiang Pu, and Chengdong Li: Interval Type-2 TSK Nominal-fuzzy-model-based Sliding Mode Controller Design for Flexible Air-breathing Hypersonic Vehicles, Proceedings of the 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017), Naples, Italy, July 9-12, 2017.

[48]         Junlong Gao, Ruyi Yuan, Jianqiang Yi, Hao Ying, and Chengdong Li: A Novel Approach to Generating an Interval Type-2 Fuzzy Neural Network Based on a Well-Behaving Type-1 Fuzzy TSK System, Proceedings of 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016) , Budapest, Hungary, October 9-12, 2016, pp.3305-3311.

[49]         Junlong Gao, Ruyi Yuan, Jianqiang Yi, and Chengdong Li: Adaptive Interval Type-2 Fuzzy Sliding Mode Controller Design for Flexible Air-breathing Hypersonic Vehicles, Proceedings of the 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2015), Istanbul, Turkey, August 2-5, 2015.

[50]         Yafei Chang, Ruyi Yuan, Guoliang Fan, and Jianqiang Yi: A Blended Autopilot for Dual Control Missile Using Generalized Predictive and Adaptive Terminal Sliding Model Control, Proceedings of the 19th World Congress of the International Federation of Automatic Control (IFAC 2014), Cape Town, South Africa, August 24-29, 2014, pp.2515-2520.

[51]         Zhen Liu, Xiangmin Tan, Ruyi Yuan, Guoliang Fan, and Jianqiang Yi: Non-certainty equivalence adaptive tracking control for hypersonic vehicles, Proceedings of the 19th World Congress of the International Federation of Automatic Control (IFAC 2014), Cape Town, South Africa, August 24-29, 2014, pp.882-887.

[52]         Chengdong Li, Jianqiang Yi, Guiqing Zhang, and Ming Wang: Construction of Slope-Consistent Trapezoidal Interval Type-2 Fuzzy Sets for Simplifying the Perceptual Reasoning Method, Proceedings of the 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2014), Beijing, China, July 6-11, 2014, pp.1261-1267.

[53]         Fang Yang, Jianqiang Yi, Xiangmin Tan, and Ruyi Yuan: Robust Adaptive Type-2 Fuzzy Logic Controller Design for a Flexible Air-breathing Hypersonic Vehicle, Proceedings of the 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2014), Beijing, China, July 6-11, 2014, pp.106-112.

[54]         Dianwei Qian, Shiwen Tong, Jianqiang Yi, and Mingcong Deng: Design of Sliding-mode Controller via Model Reduction for Automatic Generation Control of Micro Hydropower Plants: Isolated-mode Case, Proceedings of the 52nd IEEE Conference on Decision and Control (CDC 2013), Florence, Italy, December 10-13, 2013, pp.6118-6123.

[55]         Dianwei Qian, Jianqiang Yi, and Dongbin Zhao: Control of Overhead Crane Systems by Combining Sliding Mode with Fuzzy Regulator, Proceedings of the 18th IFAC World Congress (IFAC 2011), Milano, Italy, August 28-September 2, 2011, pp.9320-9325.

[56]         Chengdong Li, Guiqing Zhang, Jianqiang Yi, and Tiechao Wang,: On the Properties of SIRMs Connected Type-1 and Type-2 Fuzzy Inference Systems, Proceedings of 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), Taipei, Taiwan, June 27-30, 2011, pp.1982-1988.

[57]         Tiechao Wang and Jianqiang Yi: Design of Interval Type-2 Fuzzy Logic Systems Using Prior Knowledge via Optimization Algorithms, Proceedings of 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), Taipei,Taiwan, June 27-30, 2011, pp.1681-1688.

[58]         Tiechao Wang, Jianqiang Yi, and Chengdong Li: Multi-source Knowledge Based Unnormalized Interval Type-2 Fuzzy Logic Systems Design, Proceedings of 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), Taipei,Taiwan, June 27-30, 2011, pp.1974-1981.

[59]         Dianwei Qian, Jianqiang Yi, and Xiangjie Liu: Design of Reduced Order Sliding Mode Governor for Hydro-turbines, Proceedings of 2011 American Control Conference (ACC2011), San Francisco, California,USA, June 29 - July 1, 2011, pp.5073-5078.

[60]         Ruyi Yuan, Jianqiang Yi, Wensheng Yu, and Guoliang Fan: Adaptive Controller Design for Uncertain Nonlinear Systems with Input Magnitude and Rate Limitations, Proceedings of 2011 American Control Conference (ACC2011), San Francisco, California, USA, June 29 - July 1, 2011, pp.3536-3541.

[61]         Jianhong Zhang, Jianqiang Yi, Xiangmin Tan, and Yi Yu: Fuzzy Control of a Four-rope-driven Level-adjustment Robot Considering all Constrained Situation, Proceedings of 2011 American Control Conference (ACC2011), San Francisco, California, USA, June 29 - July 1, 2011, pp.557-562.

[62]         Hua Xiong, Jian-qiang Yi, Guo-liang Fan, and Feng-shui Jing: Anti-Crosswind Autolanding of UAVs Based on Active Disturbance Rejection Control, Proceedings of the AIAA Guidance, Navigation, and Control /AIAA Modeling and Simulation Technologies/AIAA Atmospheric Flight Mechanics/AIAA/AAS Astrodynamics Specialist /AIAA Atmospheric and Space Environments Conference (AIAA GNC/AFM/MST/ASC/ASE 2010), Toronto, Ontario, Canada, August 2010, AIAA 2010-7734.

[63]         Yujie Dai, Dongbin Zhao, and Jianqiang Yi: A Comparative Study of Urban Traffic Signal Control with Reinforcement Learning and Adaptive Dynamic Programming, Proceedings of 2010 International Joint Conference on Neural Networks (IJCNN2010), Barcelona, Spain, July 2010, pp.70-76.

[64]         Chengdong Li, Jianqiang Yi, and Tiechao Wang: Stability Analysis of SIRMs Based Type-2 Fuzzy Logic Control Systems, Proceedings of 2010 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2010), Barcelona,Spain, July 2010, pp.2913-2918.

[65]         Tiechao Wang, Jianqiang Yi, and Chengdong Li: The Monotonicity and Convexity of Unnormalized Interval Type-2 TSK Fuzzy Logic Systems, Proceedings of 2010 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2010), Barcelona,Spain, July 2010, pp.3056-3061.

[66]         Yi Yu, Jianqiang Yi, Chengdong Li, Dongbin Zhao, and Jianhong Zhang: Control of a Rope-driven Self-leveling Device for Leveling Adjustment, Proceedings of 2009 American Control Conference (ACC2009), Missouri,USA, June 2009, pp.5115-5120.

[67]         Xuerui Bai, Dongbin Zhao, and Jianqiang Yi: Coordinated Multiple Ramps Metering based on Neuro-fuzzy Adapptive Dynamic Programming, Proceedings of 2009 International Joint Conference on Neural Networks (IJCNN2009), Atlanta, USA, June 2009, pp.241-248.

[68]         Chengdong Li, Jianqiang Yi, and Dongbin Zhao: Control of the TORA System Using SIRMs based Type-2 Fuzzy Logic, Proceedings of 2009 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2009), Jeju Island,Korea, August 2009, pp.694-699.

[69]         Chengdong Li, Jianqiang Yi, and Dongbin Zhao: Analysis and Design of Monotonic Type-2 Fuzzy Inference Systems, Proceedings of 2009 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2009), Jeju Island,Korea, August 2009, pp.1193-1198.

[70]         Yi Yu, Jianqiang Yi, Chengdong Li, Dongbin Zhao, and Jianhong Zhang: Fuzzy Logic Based Adjustment Control of a Cable-driven Auto-leveling Parallel Robot, Proceedings of 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2009), St. Louis, Missouri, USA, October 2009, pp.2102-2107. 

[71]         Huidong Wang, Jianqiang Yi, and Guoliang Fan: Flight Control System Design with Hierarchy-Structured Dynamic Inversion and Dynamic Control Allocation, Proceedings of  2009 IEEE International Conference on Systems, Man, and Cybernetics (SMC2009), San Antonio, Texas, USA, October 2009, pp.5312-5317. 

[72]         Dianwei Qian, Jianqiang Yi, and Dongbin Zhao: Control of a Class of Under-Actuated Systems with Saturation Using Hierarchical Sliding Mode, Proceedings of the 2008 IEEE International Conference on Robotics and Automation (ICRA 2008), Pasadena, CA, USA, May 2008, pp.2429-2434.

[73]         Dong Xu, Dongbin Zhao, Jianqiang Yi, Xiangmin Tan, and Zonghai Chen: Trajectory Tracking Control of Omnidirecitonal Wheeled Mobile Manipulators: Robust Neural Network based Sliding Mode Approach, Proceedings of the 2008 IEEE International Conference on Robotics and Automation (ICRA 2008), Pasadena, CA, USA, May 2008, pp.1653-1658.

[74]         Yanping Xiang, Jianqiang Yi, and Dongbin Zhao: Quick Kelly Control: A Nonlinear Congestion Control Method for High Speed Networks, Proceedings of the 17th IFAC World Congress (IFAC 2008), Seoul, Korea, July 2008, pp.12988-12993.

[75]         Xuerui Bai, Dongbin Zhao, Jianqiang Yi, and Jing Xu: Ramp Metering Based on On-line ADHDP(λ) Controller, Proceedings of 2008 International Joint Conference on Neural Networks (IJCNN2008), Hongkong, China, June 2008, pp.1848-1853.

[76]         Tao Li, Dongbin Zhao, and Jianqiang Yi: Adaptive Dynamic Neurofuzzy for Traffic Signal Control, Proceedings of 2008 International Joint Conference on Neural Networks (IJCNN2008), Hongkong, China, June 2008, pp.1841-1847.

[77]         Yinxing Hao, Jianqiang Yi, Dongbin Zhao, and Dianwei Qian: Robust Control Using Incremental Sliding Mode for Underactuated Systems with Mismatched Uncertainties, Proceedings of 2008 American Control Conference (ACC 2008), Seattle, Washington,USA, June 2008, pp.532-537.

[78]         Tao Li, Dongbin Zhao, and Jianqiang Yi: Heuristic Dynamic Programming Strategy with Eligibility Traces, Proceedings of 2008 American Control Conference (ACC 2008), Seattle, Washington,USA, June 2008, pp.4535-4540.

[79]         Xiangmin Tan, Dongbin Zhao, Jianqiang Yi, and Dong Xu: Adaptive Hybrid Control for Omnidirectional Mobile Manipulators using Neural-Network, Proceedings of 2008 American Control Conference (ACC 2008), Seattle, Washington, USA, June 2008, pp.5174-5179.

[80]         Yanping Xiang, Jianqiang Yi, and Dongbin Zhao: A Nonlinear Rate Control Method for Congestion Control, Proceedings of 2008 American Control Conference (ACC 2008), Seattle, Washington,USA, June 2008, pp.4436-4441.

[81]         Dianwei Qian, Jianqiang Yi, and Dongbin Zhao: Robust Control Using Sliding Mode for a Class of Under-Actuated Systems with Mismatched Uncertainties, Proceedings of 2007 IEEE International Conference on Robotics and Automation (ICRA 2007), Roma, Italy, April 2007, pp.1449-1454.

[82]         Jin Cheng, Jianqiang Yi, and Dongbin Zhao: Stabilization of an Underactuated Surface Vessel via Discontinuous Control, Proceedings of 2007 American Control Conference (2007 ACC), New York,USA, July 2007, pp.206-211.

[83]         Dianwei Qian, Jianqiang Yi, and Dongbin Zhao: Hierarchical Sliding Mode Control to Swing up a Pendubot, Proceedings of 2007 American Control Conference (2007 ACC), New York,USA, July 2007, pp.5254-5259.

[84]         Zhanquan Sun, Guangcheng Xi, Haixia Li, Jianqiang Yi, and Jie Wang: Apply Feature Selection to the Integration of TCM and Western Medicine, Proceedings of The 2007 International Joint Conference on Neural Networks (IJCNN2007), Orlando, Florida, USA, August 2007, pp.72-77.

[85]         Dong Xu, Dongbin Zhao, Jianqiang Yi, and Xiangmin Tan: Robust Adaptive Tracking Control of Omnidirecitonal Wheeled Mobile Manipulators, Proceedings of the 2007 IEEE International Conference on Intelligent Robots and Systems (IROS 2007), San Diego, California, USA, October 2007, pp.3598-3603.

[86]         Dongbin Zhao, Jianqiang Yi, and Xuyue Deng: Motion Regulation of Redundantly Actuated Omni-directional Wheeled Mobile Robots with Internal Force Control, Proceedings of the 2007 IEEE International Conference on Intelligent Robots and Systems (IROS 2007), San Diego, California, USA, October 2007, pp.3919-3924.

[87]         Xuyue Deng, Dongbin Zhao, Jianqiang Yi, and John T. Wen: Motion and Squeeze Force Control for Omnidirectional Wheeled Mobile Robots, Proceedings of 2006 American Control Conference (ACC 2006), Minnesota,USA, June 2006, pp.5608-5613.

[88]         Jin Cheng, Jianqiang Yi, and Dongbin Zhao: A New Fuzzy Autopilot for Way-Point Tracking Control of Ships, Proceedings of 2006 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2006), Vancouver, Canada, July 2006, pp.2468-2473.

[89]         Dianwei Qian, Jianqiang Yi, Dongbin Zhao, and Yinxing Hao: Hierarchical Sliding Mode Control for Series Double Inverted Pendulum System, Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2006), Beijing, China, Oct. 2006, pp.4977-4982.

[90]         Zhiguang Zhong, Jianqiang Yi, and Dongbin Zhao: Pose Estimation and Structure Recovery from Point Pairs, Proceedings of 2005 IEEE International Conference on Robotics and Automation (ICRA 2005), Barcelona,Spain, April 2005, pp.444-449.

[91]         Yuhu Cheng, Jianqiang Yi, and Dongbin Zhao: A Proposal of Weighted Q-Learning for Continuous State and Action Spaces, Proceedings of the 16th IFAC World Congress (IFAC 2005), Prague, Czech, July 2005.

[92]         Jianing Li, Jianqiang Yi, and Dongbin Zhao: Cooperation Learning for Behaviour-based Neural-Fuzzy Controller in Robot Navigation, Proceedings of the 16th IFAC World Congress (IFAC 2005), Prague, Czech, July 2005.

[93]         Xiaojing Liu, Jianqiang Yi, and Dongbin Zhao: Adaptive Inverse Disturbance Canceling Control System based on Least Square Support Vector Machines, Proceedings of 2005 American Control Conference (ACC 2005), Portland, Oregon, USA, June 2005, pp.2625-2629.

[94]         Zuoshi Song, Jianqiang Yi, and Dongbin Zhao: Robust Motion Control for Nonholonomic Constrained Mechanical Systems: Sliding Mode Approach, Proceedings of 2005 American Control Conference (ACC 2005), Portland,  Oregon,USA, June 2005, pp.2883-2888.

[95]         Wei Wang, Jianqiang Yi, Dongbin Zhao, and Xiaojing Liu: Design of Cascade Fuzzy Sliding-Mode Controller, Proceedings of 2005 American Control Conference (ACC 2005), Portland, Oregon,USA, June 2005, pp.4649-4654.

[96]         Zuoshi Song, Dongbin Zhao, Jianqiang Yi and Xinchun Li: Tracking Control of Mobile Manipulator with Dynamical Uncertainties, Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2005), Alberta, Canada, Aug. 2005, pp.2373-2378.

[97]         Wei Wang, Jianqiang Yi, Dongbin Zhao, and Xiaojing Liu: Double Layer Sliding Mode Control for Second-Order Underactuated Mechanical Systems, Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2005), Alberta, Canada, Aug. 2005, pp.3188-3193.

[98]         Jianqiang Yi, Wei Wang, Dongbin Zhao, and Xiaojing Liu: Cascade Sliding-Mode Controller for Large-Scale Underactuated Systems, Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2005), Alberta, Canada, Aug. 2005, pp.3194-3199.

[99]         Diantong Liu, Jianqiang Yi, Dongbin Zhao, and Wei Wang: Swing-Free Transporting of Two-Dimensional Overhead Crane Using Sliding Mode Fuzzy Control, Proceedings of 2004 American Control Conference (ACC 2004), Boston,USA, June 2004, pp.1764-1769.

[100]      Jianqiang Yi, Naoyoshi Yubazaki, and Kaoru Hirota: Anti-Swing Fuzzy Control of Overhead Traveling Crane, Proceedings of 2002 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2002), Hawaii,USA, May 2002, pp.1298-1303.

[101]      Jianqiang Yi, Naoyoshi Yubazaki, and Kaoru Hirota: Stabilization Control of Ball and Beam Systems, Proceedings of the Joint 9th IFSA World Congress and 20th NAFIPS International Conference (IFSA/NAFIPS 2001), Vancouver, Canada, July 2001, pp.2229-2234.

[102]      Jianqiang Yi, Naoyoshi Yubazaki, and Kaoru Hirota: Stability Analysis of SIRMs Dynamically Connected Fuzzy Inference Model, Proceedings of the 10th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2001), Melbourne, Australia, Dec. 2001, pp.143-146.

[103]      Jianqiang Yi, Naoyoshi Yubazaki, and Kaoru Hirota: Systematically Constructing Stabilization Fuzzy Controllers for Single and Double Pendulum Systems, Proceedings of the Ninth IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2000), San Antonio, Texas, USA, May 2000, Vol.1, pp.263-268.

[104]      Jianqiang Yi, Naoyoshi Yubazaki, and Kaoru Hirota: Backing up Control of Truck-Trailer System, Proceedings of the 10th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2001), Melbourne, Australia, Dec. 2001, pp.489-492.

[105]      Jianqiang Yi, Naoyoshi Yubazaki, and Kaoru Hirota: Stabilization Fuzzy Control of Parallel-Type Double Inverted Pendulum System, Proceedings of the Ninth IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2000), San Antonio, Texas, USA, May 2000, Vol.2, pp.817-822.

[106]      Jianqiang Yi, Naoyoshi Yubazaki, and Kaoru Hirota: SIRMs Dynamically Connected Fuzzy Inference Model Applied to Stabilization Control of Inverted Pendulum and Cart Systems, Proceedings of the 18th International Conference of the North American Fuzzy Information Processing Society (NAFIPS’99), New York, USA, June 1999, pp.771-775.

[107]      Jianqiang Yi, Naoyoshi Yubazaki, and Kaoru Hirota: Upswing and Stabilization Control of Inverted Pendulum and Cart System by the SIRMs Dynamically Connected Fuzzy Inference Model, Proceedings of the Eighth IEEE International Conference on Fuzzy Systems (FUZZ-IEEE’99), Seoul, South Korea, Aug. 1999, Vol.1, pp.400-405.

[108]      Naoyoshi Yubazaki, Jianqiang Yi, and Kaoru Hirota: SIRMs Dynamically Connected Fuzzy Inference Model and PID Controller, Proceedings of the Seventh IEEE International Conference on Fuzzy Systems (FUZZ-IEEE’98), Anchorage, Alaska, USA, May 1998, pp.325-330.

[109]      Naoyoshi Yubazaki, Jianqiang Yi, Masayuki Otani, and Kaoru Hirota: SIRMs Dynamically Connected Fuzzy Inference Model and Its Applications, Proceedings of the Seventh IFSA World Congress (IFSA’97), Prague, Czech, June 1997, Vol.3, pp.410-415.

[110]      Naoyoshi Yubazaki, Jianqiang Yi, Masayuki Otani, Nobuichi Unemura, and Kaoru Hirota: Trajectory Tracking Control of Unconstrained Objects based on the SIRMs Dynamically Connected Fuzzy Inference Model, Proceedings of the Sixth IEEE International Conference on Fuzzy Systems (FUZZ-IEEE’97), Barcelona, Spain, July 1997, Vol.2, pp.609-614.

[111]      Kiyotoshi Matsuoka and Jianqiang Yi: Backpropagation based on the Logarithmic Error Function and Elimination of Local Minima, Proceedings of the International Joint Conference on Neural Networks (IJCNN’91), Singapore, Nov. 1991, pp.1117-1122.


主要国内期刊论文

  1. 赵冬斌,易建强,张文增,陈强,都东:拟人机器人TH-1手臂运动学,机器人,Vol.24, No.6, p.502-507, 2002.

  2. 易建强:不受约束物体的轨迹跟踪控制,机器人,Vol.24, No.7, p.629-633, 2002.

  3. 易建强:平行二级倒立摆的稳定控制,控制与决策,Vol.18, No.4, p.504-506, 2003.

  4. 刘殿通,易建强,谭民:基于目标的动态加权模糊控制,控制与决策,Vol.18, No.6, p.764-766, 2003.

  5. 刘殿通,易建强,谭民:适于长距离运输的分段吊车模糊控制,控制理论与应用,Vol.20, No.6, p.908-912, 2003.

  6. 刘殿通,易建强,谭民:一类非线性系统的滑模模糊动态加权控制,系统仿真学报,Vol.15, No.5, p.721-723, 734, 2003.

  7. 朱江滨,易建强:二级倒立摆的摆起控制,系统仿真学报,Vol.15, No.7, p.1043-1045+1059, 2003.

  8. 赵冬斌,易建强,邓旭玥:全方位移动机器人结构和运动分析,机器人,Vol.25, No.5, p.394-398, 2003.

  9. 宋佐时,易建强,赵冬斌:移动机械手控制研究进展,机器人, Vol.25, No.5, p.465-469+480, 2003.

  10. 李佳宁,易建强,赵冬斌,西广成:移动机械手体系结构研究进展,机器人, Vol.25, No.7, p.756-760, 2003.

  11. 刘殿通,易建强,谭民:不确定欠驱动非线性系统的滑模模糊控制,电机与控制学报,Vol.7, No.3, p.215-218, 2003.

  12. 刘殿通,易建强,谭民:一类非线性系统的自适应滑模模糊控制,自动化学报,Vol.30, No.1, p.143-150, 2004.

  13. 朱江滨,易建强:非线性欠驱动系统的实时控制,自动化学报,Vol.30, No.1, p.131-136, 2004.

  14. 王伟,易建强,赵冬斌,刘殿通:桥式吊车系统的分级滑模控制方法,自动化学报,Vol.30, No.5, p.784-788, 2004.

  15. 钟志光,易建强,赵冬斌,洪义平:一种基于目标识别的运动视定位方法,模式识别与人工智能,Vol.17, No.3, p.337-341, 2004.

  16. 王伟,易建强,赵冬斌,刘殿通:基于滑模方法的桥式吊车系统的抗摆控制,控制与决策,Vol.19, No.9, p.1013-1016+1021, 2004.

  17. 柳晓菁,易建强,赵冬斌,王伟:一种基于RBF网络的非线性自适应逆控制系统,控制与决策,Vol.19, No.10, p.1175-1177+1182, 2004.

  18. 邓旭玥,易建强,赵冬斌:一种全方位移动机器人的运动学分析,机器人,Vol.26, No.1, p.49-53, 2004.

  19. 程玉虎,易建强,赵冬斌:机器人行为协调机制研究进展,机器人,Vol.26, No.2, p.187-192, 2004.

  20. 李佳宁,易建强,赵冬斌,西广成:一种全方位移动机械手的体系结构设计与分析,机器人,Vol.26, No.3, p.272-276, 2004.

  21. 钟志光,易建强,赵冬斌,洪义平:基于运动视的移动机器人定位方法,机器人,Vol.26, No.4, p.325-329, 2004.

  22. 宋佐时,易建强,赵冬斌,李新春:基于MATLAB的非完整动力学系统跟踪控制的动态仿真,系统仿真学报,Vol.16, No.7, p.1433-1436, 2004.

  23. 王伟,易建强,郑耀林,赵冬斌:DC-DC变换器的模糊神经网络控制方法研究,系统仿真学报,Vol.16, No.11, p.2567-2570+2574, 2004.

  24. 王骞,易建强,赵冬斌,吴并臻:一类网络控制系统的建模及分析,控制工程,Vol.11, No.6, p.529-532, 2004.

  25. Yiping Hong, Jianqiang Yi, and Dongbin Zhao: Robust Segmentation Method for Doorplate Recognition System, 自动化学报,Vol.31, No.3, p.359-364, 2005.

  26. Zhiguang Zhong, Jianqiang Yi, and Dongbin Zhao: A Robust Two Feature Points Based Depth Estimation Method, 自动化学报,Vol.31, No.5, p.693-698, 2005.

  27. 钟志光,易建强,赵冬斌:一种鲁棒的只需两帧图像的姿态估计方法,模式识别与人工智能,Vol.18, No.4, p.424-428, 2005.

  28. 王伟,易建强,赵冬斌,刘殿通:Pendubot的一种分层滑模控制方法,控制理论与应用,Vol.22, No.3, p.417-422, 2005.

  29. 柳晓菁,易建强,赵冬斌,王伟:基于最小二乘支持向量机的自适应逆扰动消除控制系统,控制与决策,Vol.20, No.8, p.947-950, 2005.

  30. 王伟,易建强,赵冬斌,柳晓菁:基于稳定性分析的一类欠驱动系统的滑模控制器设计,信息与控制,Vol.34, No.2, p232-235, 2005.

  31. 钟志光,易建强,赵冬斌:一种基于点对的相机几何标定方法,机器人,Vol.27, No.1, p.31-34+40, 2005.

  32. 钟志光,易建强,赵冬斌:一种基于点对的深度和运动估计方法,机器人,Vol.27, No.2, p.137-141, 2005.

  33. 赵冬斌,杨晟刚,易建强,张彦:煤气化炉的仿真系统开发,系统仿真学报,Vol.17, No.5, p.1258-1260, 2005.

  34. 柳晓菁,易建强,赵冬斌:基于Lyapunov稳定理论设计MRAC系统的简单方法,系统仿真学报,Vol.17, No.8, p.1933-1935, 2005.

  35. 赵亚丽,西广成,易建强:复杂系统中统计相关性测量的熵方法研究,系统工程学报,Vol.20, No.4, p.427-431, 2005.

  36. 赵亚丽,西广成,易建强:基于相对熵函数准则的BP算法,计算机工程,Vol.31, No.19, p.12-14, 2005. 

  37. 李佳宁,易建强,赵冬斌,西广成:一种基于强化学习的在线神经模糊控制系统,中科院研究生院学报,Vol.22, No.5, p.631-638, 2005.

  38. 杨月全谭民易建强张天平基于单率多点广播数据流的潜在瓶颈链路智能预报,东南大学学报(自然科学版),Vol.35, 增刊, p.100-104, 2005.

  39. 邓旭玥,易建强,赵冬斌:一种全方位移动机器人的控制方法,电机与控制学报,Vol.9, No.2, p.139-144, 2005.

  40. 宋佐时,易建强,赵冬斌,李新春:基于神经网络的一类非线性系统的自适应滑模控制,电机与控制学报,Vol.9, No.5, p.481-485, 2005.

  41. 程玉虎,易建强,王雪松,赵冬斌:一类连续状态与动作空间下的加权Q学习,电机与控制学报,Vol.9, No.6, p.570-574, 2005.

  42. 王伟,易建强,赵冬斌,柳晓菁:一种新型神经网络滑模控制器的设计,电机与控制学报,Vol.9, No.6, p.603-606, 2005.

  43. 李新春,赵冬斌,易建强:一种移动机械手分级协调路径规划方法,制造业自动化,Vol.27, No.5, p.28-32, 2005.

  44. 李新春,赵冬斌,易建强,卢雄辉:移动机械手运动学分析,伺服与运动控制,No.4, p.57-59, 2005.

  45. Diantong Liu, Weiping Guo, and Jianqiang Yi: Dynamics and Stable Control for a Class of Underactuated Mechanical Systems, 自动化学报,Vol.32, No.3, p.422-427, 2006.

  46. 李佳宁,易建强,赵冬斌,西广成:一种新的基于神经模糊推理网络的复杂系统模糊辨识方法,自动化学报,Vol.32, No.5, p.695-703, 2006.

  47. 李新春,赵冬斌,易建强:一种全方位移动机械手的可操作度分析,中国机械工程,Vol.17, No.14, p.1442-1447, 2006.

  48. 高学金,王普,孙崇正,易建强,张亚庭,张会清:基于动态ε-SVM的发酵过程建模,仪器仪表学报,Vol.27, No.11, p.1497-1500, 2006.

  49. 洪义平易建强赵冬斌李新征:自然图像分割方法及其在目标检测中的应用,模式识别与人工智能,Vol.19, No.5, p.658-662, 2006.

  50. 王伟,易建强,赵冬斌,柳晓菁:一类非确定欠驱动系统的串级模糊滑模控制,控制理论与应用,Vol.23, No.1, p.53-59, 2006.

  51. 王雪松,程玉虎,易建强:一种自适应模糊Actor-Critic学习,控制与决策,Vol.21, No.9, p.1068-1072, 2006.

  52. 高学金,王普,孙崇正,易建强,张亚庭,张会清:基于MOGASVM的发酵过程建模,信息与控制,Vol.35, No.1, p.12-15, 2006.

  53. 李新春,赵冬斌,易建强:基于OpenGL的移动机械手路径规划仿真,系统仿真学报,Vol.18, No.1, p.196-199, 2006.

  54. 高学金,王普,孙崇正,易建强,张亚庭,张会清:基于支持向量机的青霉素发酵过程建模,系统仿真学报,Vol.18, No.7, p.2052-2055, 2006. 

  55. 王雪松,程玉虎,易建强,王炜强:基于Elman网络的非线性系统增强式学习控制. 中国矿业大学学报, Vol.35, No.5, p.653-657, 2006.

  56. 高学金,王普,孙崇正,易建强,张亚庭,张会清:一种建立发酵过程模型的新方法,北京工业大学学报,Vol.32, No.5, p.405-409, 2006. 

  57. 李新征,易建强,赵冬斌,洪义平:一种改进的自然图像分割方法,计算机应用研究,Vol.23, No.5, p.251-254, 2006.

  58. 孙占全,西广成,易建强,高颖:基于熵的广义指标建立方法在中医学中的应用,北京中医药大学学报,Vol.29, No.6, p.370-373, 2006.

  59. 李新春,赵冬斌,易建强:一种末端任务给定的移动机械手动态路径规划方法,控制与决策,Vol.22, No.2, p.184-188+194, 2007.

  60. 王雪松,程玉虎,易建强:电-气位置伺服控制系统的研究进展,控制与决策,Vol.22, No.6, p.601-607, 2007.

  61. 孙占全,西广成,易建强,李海霞:中医辨证的智能系统模型,系统仿真学报,Vol.19, No.10, p.2318-2320, 2007.

  62. 高学金,王普,孙崇正,易建强,张亚庭,张会清:分阶段建立发酵过程模型的方法的研究和应用,系统仿真学报,Vol.19, No.11, p.2574-2577, 2007.

  63. 高学金,王普,孙崇正,易建强,张亚庭,张会清:基于实数编码的自适应遗传算法及其应用,北京工业大学学报,Vol.32, No.2, p.144-149, 2007.

  64. 黄海明,刘金刚,易建强:基于SDL&OpenGL的三维游戏优化技术,计算机工程,Vol.33, No.20, p.213-215, 2007.

  65. 王雪松,程玉虎,易建强,孙伟:基于自组织模糊RBF网络的连续空间Q学习,信息与控制,Vol.37, No.1, p.1-8, 2008.

  66. 余意,易建强赵冬斌:智能空间研究综述,计算机科学,Vol.35, No.8, p.1-5, 2008.

  67. 李成栋,易建强赵冬斌:一种新的针对平移振荡器系统的模糊控制方法,重庆工学院学报(自然版),Vol.22, No.9, p.47-51, 2008.

  68. 余意,易建强赵冬斌,张建宏:绳索牵引自动水平调节机器人的设计,华中科技大学学报(自然科学版),Vol.36, Sup.I, p.284-287, 2008.

  69. 黄海明,刘金刚,易建强:个性化关节运动参数有效性判别策略研究,系统仿真学报,Vol.20, 增刊, p. 427-431, 2008.

  70. 谭湘敏,赵冬斌,易建强,徐冬:全方位移动机械手系统运动控制:建模与控制,机械工程学报,Vol.45, No.1, p.35-41, 2009. 

  71. 徐冬,赵冬斌,易建强,谭湘敏:全方位移动机械手系统运动控制:鲁棒控制,机械工程学报,Vol.45, No.1, p.42-49, 2009. 

  72. 王雪松,田西兰,程玉虎,易建强:基于协同最小二乘支持向量机的Q学习,自动化学报,Vol.35, No.2, p.214-219, 2009.

  73. 赵冬斌,刘德荣,易建强:基于自适应动态规划的城市交通信号优化控制方法综述,自动化学报,Vol.35, No.6, p.676-681, 2009.

  74. 赵冬斌,易建强,陈阳舟:缓解交通拥挤的城市交通信号控制方法综述,交通运输系统工程与信息,Vol.9, No.4, p.36-45, 2009.

  75. 李成栋,易建强:基于先验知识的单输入规则模块连接区间二型模糊控制器的设计,东南大学学报(自然科学版),Vol.39, 增刊, p.57-61, 2009.

  76. 余意,易建强,李成栋,赵冬斌,张建宏:绳索牵引自动水平调节机器人综合控制策略,电机与控制学报,Vol.13, No.6, p.891-896, 2009.

  77. 李成栋,易建强,余意,赵冬斌:Inverse Control of Cable-Driven Parallel Mechanism Using Type-2 Fuzzy Neural Network,自动化学报,Vol.36, No.3, p.459-464, 2010.

  78. 卢頔,范国梁,易建强:系统性能极限理论的回顾和展望,自动化学报,Vol.37, No.1, p.1-10, 2011.

  79. 谭湘敏,易建强,赵冬斌,郝银星:高超声速飞行器轨迹跟踪控制仿真研究,系统仿真学报,Vol.23, No.4, p.745-749, 2011.

  80. 易建强,李成栋:先验知识驱动单输入规则模块连接模糊控制器设计,智能技术学报,Vol.3, No.3, p.1-10, 2011.

  81. 刘振谭湘敏易建强,袁如意,范国梁:浸入与不变方法原理及其在非线性自适应控制中的应用,智能系统学报,Vol.8, No.5, p.400-407, 2013.

  82. 李成栋,易建强,王铁超,任伟娜:二型模糊系统理论与应用研究进展,中国自动化学会通讯,Vol.34, No.3, p.44-58, 2013.

  83. 蒲志强,易建强,袁如意,谭湘敏:高超声速飞行器不确定性控制研究综述,中国自动化学会通讯,Vol.35, No.3, p.19-28, 2014.

  84. 杜欢,范国梁,易建强:水上无人机自主着水控制系统设计,控制理论与应用,Vol.32, No.10, p1305-1315, 2015.

  85. Xiaoqi Li, Wei Wang, Jianqiang Yi: Stable Transition of Quadruped Rhythmic Motion Using the Tracking Differentiator, Journal of Harbin Institute of Technology [英文版], Vol.22, No.5, p.9-16, 2015.

  86. 高俊龙,袁如意,易建强,应浩,李成栋:基于一型模糊规则自主构建二型TSK神经模糊系统方法设计,控制理Vol.33, No.12, p.1614-1629, 2016.

  87. 王乐乐,眭泽智,蒲志强,刘 振,易建强:一种改RRT的多机器人编队路径划算法,子学报,Vol.48, No.11, p.2138-2145, 2020.

  88. 蒲志强,易建,刘 振,丘腾海,孙金林,李飞墨:知识和数据协同驱动的群体智能决策方法研究综述,自动化学报,Vol.48, No.3, p.627-643, 2022.

专利等

   
已授权发明专利

[1]          易建强、刘殿通,吊车吊绳的角度测量装置,发明专利号:ZL02104525.9授权日:2005720

[2]          易建强、洪义平、赵冬斌,门牌号自动识别系统及方法,发明专利号:ZL200410034866.0授权日:2007516

[3]          赵冬斌、易建强、宋佐时、邓旭玥,移动机械手系统,发明专利号:ZL200310104461.5,授权日:200766

[4]          易建强、赵冬斌、李新春、邓旭玥、李佳宁,一种移动机械手控制系统,发明专利号:ZL200410074364.0授权日:2008116

[5]          易建强、洪义平、赵冬斌,鲁棒的自然图像分割方法,发明专利号:ZL200510075540.7授权日:200842

[6]          赵冬斌、易建强,桌上曲棍球机器人系统,发明专利号:ZL200310104460.0授权日:2008528

[7]          易建强、钟志光、赵冬斌,一种结合传感技术的射频卡门禁系统,发明专利号:ZL200510072926.2, 授权日:20081217

[8]          易建强、赵冬斌,线材自动点数机,发明专利号:ZL200410009812.9, 授权日:200934

[9]          谭湘敏、易建强、赵冬斌,一种移动机器人的位姿传感系统及其方法,发明专利号:ZL200610011732.6, 授权日:2009415

[10]      易建强、赵冬斌、程金,一种自动舵航向控制系统及其方法,发明专利号ZL200410101876.1, 授权日:2009527

[11]      赵冬斌、易建强,一种体操机器人系统及方法,发明专利号:ZL200510011788.7, 授权日:200963

[12]      易建强、赵冬斌、程金,一种航迹自动舵控制系统及其方法,发明专利号:ZL200410101875.7, 授权日:200963

[13]      刘伟荣、易建强、赵冬斌,一种应用于互联网的网络拥塞控制系统及方法,发明专利号:ZL200610113821.1, 授权日:2010210

[14]      赵冬斌、易建强,火灾救援机器人系统及其方法,发明专利号:ZL200510130759.2, 授权日:2010224

[15]      赵冬斌、易建强,转球式洗衣机及方法发明专利号:ZL200510011787.2, 授权日:2010721申请号:200510011787.2, 2005526

[16]      易建强、张小成、赵冬斌、徐冬,一种正交式水平自动调节吊具及方法,发明专利号:ZL200710122474.3, 授权日:2010106申请号:200710122474.3, 2007926

[17]      赵冬斌、徐冬、易建强、张小成,一种极坐标方式水平自动调节吊具及方法发明专利号:ZL200710178782.8, 授权日:2010106申请号:200710178782.82007125

[18]      赵冬斌、易建强,火灾抢险机器人系统及其方法,发明专利号:ZL200510126236.0, 授权日:2010113。申请号:200510126236.0, 20051130

[19]      易建强、项炎平、赵冬斌,一种自动化立体仓库框架结构,发明专利号:ZL200710175670.7, 授权日:2011413申请号:200710175670.720071010

[20]      易建强、余意、赵冬斌、张建宏,绳索牵引自动水平调节吊具及方法,发明专利号:ZL200810117067.8, 授权日:2011413申请号:200810117067.82008723

[21]      易建强、项炎平、赵冬斌,一种双旋配重式自动水平调节吊具系统及控制方法发明专利号:ZL200710304205.9, 授权日:2011420申请号:200710304205.920071226

[22]      易建强,余梓瑞,一种自动凸字机,发明专利号:ZL200910242435.6, 授权日:2011720申请号:200910242435.620091211

[23]      王彦情,易建强,一种基于立体视觉的行李信息在线获取系统及其方法发明专利号:ZL201010157526.2, 授权日:2011928申请号:201010157526.22010421

[24]      赵冬斌,李涛,易建强,街区路口交通信号优化控制方法,发明专利号:ZL200910076851.3, 授权日:20111221申请号:200910076851.32009122

[25]      王彦情,易建强,一种基于测距技术的行李尺寸在线测量系统及其方法发明专利号:ZL201010111373.8, 授权日:2011119申请号: 201010111373.82010210

[26]      王彦情,易建强,一种基于单目视觉的行李外观信息自动获取系统及其方法发明专利号:ZL201010175471.8, 授权日:2011119申请号:201010175471.82010512

[27]      赵冬斌、李涛、易建强、张建宏,单配重式自动水平调节吊具及使用方法,发明专利号:ZL200810240941.7, 授权日:2012418申请号:200810240941.720081224

[28]      范国梁,易建强,常红星,一种基于侧向导引的抗侧风着陆航迹跟踪控制方法,发明专利号:ZL200810240943.6, 授权日:20121010申请号:200810240943.620081224

[29]      郝悦星,谭湘敏,范国梁,易建强,差压式空速传感器测试系统,发明专利号:ZL201110219226.7授权日:2013717申请号:201110219226.7201182

[30]      范国梁,易建强,常红星,谭湘敏,袁如意,朱迎谷,水上无人机回收系统,发明专利号:ZL201110272967.1授权日:20131030申请号:201110272967.12011915

[31]      范国梁,易建强,常红星,折叠充气浮筒及应用该折叠充气浮筒的水上飞机,发明专利号:ZL201110404181.0授权日:2014115申请号:201110404181.02011127

[32]      谭湘敏,易建强,郝银星,范国梁,一种小型涡喷发动机控制方法,发明专利号:ZL201210366882.4授权日:20140625。申请号:201210366882.420120928。(创新方法)

[33]      范国梁, 易建强, 常红星, 祖伟, 谭湘敏,基于无人机的空中多用途科学实验平台,发明专利号:ZL201010048686.3授权日:2014723申请号:201010048686.32010611

[34]      范国梁,易建强,常红星,袁如意,高俊龙,无人动力三角翼操纵力测量装置及其标定方法,发明专利号:ZL201310100020.1授权日:2014924。申请号:201310100020.1,申请日:20130326

[35]      范国梁,易建强,常红星,袁如意,高俊龙,无人动力三角翼操纵力矩和制动力测量装置及其标定方法,发明专利号:ZL201310108800.0授权日:20141022。申请号:201310108800.0,申请日:20130329

[36]      范国梁,易建强,常红星,袁如意,高俊龙,无人动力三角翼刹车位移测量装置及其标定方法,发明专利号:ZL201310108748.9授权日:201556。申请号:201310108748.9,申请日:20130329

[37]      范国梁,易建强,常红星,袁如意,高俊龙,无人动力三角翼操纵位移测量装置及其标定方法,发明专利号:ZL201310099995.7授权日:201578。申请号:201310099995.7,申请日:20130326

[38]      谭湘敏,易建强,袁如意,蒲志强:电力线巡检用的多旋翼飞行器以及基于它的系统,发明专利号:ZL201310683217.2授权日:20151028。申请号:201310683217.220131212

[39]      谭湘敏,郝银星,易建强,范国梁:一种自动盖章机系统及其控制方法,发明专利号:ZL201310524733.0,授权日:201616日。申请号:201310524733.020131030

[40]      范国梁,袁如意,常红星,易建强,一种无人机轮胎侧偏刚度在线测量装置,发明专利号:ZL201410035963.5,授权日:201639日。申请号:201410035963.5,申请日:20140126

[41]      范国梁,常红星,易建强,赵健,双目成像三维视觉系统装置及控制方法,发明专利号:ZL201310487359.1,授权日:2016824日。申请号:201310487359.1,申请日:20131017

[42]      蒲志强,高俊龙,易建强,谭湘敏,可变形多模态陆空飞行机器人,发明专利号ZL201510431995.1,授权日:2017524日。申请号:201510431995.1,申请日:20150721

[43]      蒲志强,高俊龙,易建强,谭湘敏,一种被动增稳可变形起落架陆空飞行机器人,发明专利号:ZL201510561416.5,授权日:2017613日。申请号:201510561416.5,申请日:20150906

[44]      蒲志强,杜晗,易建强,谭湘敏,多无人机自主协同决策快速集成系统,发明专利号:ZL201610059981.6,授权日:2018626日。申请号:201610059981.6申请日:20160128日。

[45]      蒲志强,高俊龙,易建强,谭湘敏,可移动式多旋翼无人机自主基站系统,发明专利号:ZL201610286221.9,授权日:20181113日。申请号:201610286221.9申请日:20160503日。

[46]      鲁涛,陶新龙,常红星,易建强,外骨骼式移动步行康复训练装置及方法,发明专利号:ZL201511000819.9,授权日:20190211日。申请号:201511000819.9,申请日:20151228日。

[47]      蒲志强,谭湘敏,易建强,丘腾海,考虑地效的多旋翼自主起降控制方法及装置,发明专利号:ZL201611197243.4,授权日:20191015日。申请号:201611197243.4,申请日:20161222日。

[48]      蒲志强,谭湘敏,易建强,常红星,丘腾海,基于多旋翼无人机编队的字符显示方法及系统,发明专利号:ZL201710092150.3,授权日:20191115日。申请号:201710092150.3,申请日:20170221日。

[49]      蒲志强,刘振,王彗木,丘腾海,易建强,分布式多智能体时空特征提取方法、行为决策方法,发明专利号:ZL202010873794.8,授权日:20201117日。申请号:202010873794.8,申请日:20200826日。

[50]      蒲志强,王彗木,刘振,丘腾海,易建强,多智能体时空特征提取方法及系统、行为决策方法及系统,发明专利号:ZL202010872541.9,授权日:20201225日。申请号:202010872541.9,申请日:20200826日。

[51]      刘振,蒲志强,丘腾海,康扬名,易建强,基于多无人机协同博弈对抗的控制系统,发明专利号:ZL202010138475.2,授权日:2021129日。

[52]      丘腾海,吴士广,蒲志强,刘振,易建强,常红星,基于知识嵌入的区域覆盖和连通保持的集群控制方法,发明专利号:ZL202011393739.6,授权日:2021223日。

[53]      丘腾海,蒲志强,刘振,易建强,常红星,张海莹,张天乐,王彗木,基于知识与数据驱动的无人车分层决策方法、系统、装置,发明专利号:ZL202010783631.0,授权日:2021316日。

[54]      丘腾海,蒲志强,刘振,易建强,常红星,基于强化学习的飞行器姿态控制方法、系统、装置,发明专利号:ZL202011396912.7,授权日:2021413日。

[55]      丘腾海,蒲志强,刘振,易建强,常红星,吴士广,康扬名,王乐乐,基于混合式架构的群体智能协同方法和系统,发明专利号:ZL202010782986.8,授权日:2021511日。

[56]      刘振,吴士广,张天乐,蒲志强,丘腾海,易建强,飞行器建模与模型特性分析系统,发明专利号:ZL202110318172.3,授权日:2021625日。

[57]      刘振,周志明,吴士广,蒲志强,丘腾海,易建强,多智能体行为决策方法、装置、电子设备及存储介质,发明专利号:ZL202110669818.2,授权日:20210914日。

[58]      刘振,周志明,吴士广,蒲志强,丘腾海,易建强,飞行器控制方法及装置,发明专利号:ZL202110422539.6授权日:2021101日。

[59]      刘振,周志明,张天乐,蒲志强,丘腾海,易建强,多机器人协作围捕方法、装置、电子设备及存储介质,发明专利号:ZL202110689055.8,授权日:2021101日。

[60]      刘振,周志明,王乐乐,蒲志强,丘腾海,易建强,时变飞行器大包线飞行控制方法与装置发明专利号:ZL 202110723529.6授权日:2021101日。

[61]      丘腾海,王乐乐,蒲志强,刘振,易建强,常红星,基于连通保持约束的群体围捕方法及装置,发明专利号:ZL202110811042.3,授权日:20211001日。

[62]      丘腾海、吴士广、蒲志强、刘振、易建强、常红星,群体对抗中智能体控制方法、装置、电子设备及存储介质,发明专利号:ZL 202110828346.0,授权日:20211207日。

[63]      丘腾海,张天乐,蒲志强,刘振,朱金营,易建强,常红星,基于角色分配的群体分布式控制方法及装置,发明专利号:ZL202110922017.2,授权日:20211207日。

[64]      丘腾海,张天乐,蒲志强,刘振,易建强,常红星,机器人导航方法、装置、电子设备及存储介质,发明专利号:ZL202110822386.4,授权日:20211210日。

[65]      丘腾海,王乐乐,蒲志强,刘振,易建强,一种松散的集群控制方法装置、设备、介质和产品,发明专利号:ZL202111200844.7授权日:20220118日。

[66]      艾晓琳,蒲志强,刘振,丘腾海,易建强:目标监视方法、装置、电子设备及存储介质发明专利号:ZL202210776835.0,授权日:20220407日。

[67]      周志明刘振蒲志强易建强:飞行器控制方法、装置、设备及计算机可读存储介质发明专利号:ZL202111608105.1授权日:20220408

[68]      丘腾海,付清旭,蒲志强,刘振,易建强:基于多智能体协作系统的深度强化学习方法和装置发明专利号:ZL202210715660.2授权日:20220927

[69]      刘振周志明付清旭蒲志强丘腾海易建强:空战机动决策方法及装置发明专利号: ZL202111566939.0授权日:20220712

[70]      刘振周志明付清旭蒲志强丘腾海易建强:空战对抗算法的评估方法及装置发明专利号:ZL202111617156.0授权日:20220712

[71]      丘腾海,朱金营,蒲志强,刘振,易建强:无人集群对抗方法、装置、电子设备及存储介质,发明专利号:ZL202210715655.1,授权日:20220927日。

[72]      腾海, 张天乐, 蒲志强, 刘振, 易建强,基于注意力网络的无人集群对抗方法、装置及无人设备,发明专利号:ZL202210745988.9, 授权日:20220927日。

[73]      艾晓琳,蒲志强,刘振,丘腾海,易建强:无人机空中基站部署方法、装置及电子设备发明专利号:ZL202210776834.6,授权日:2022927日。

[74]      艾晓琳蒲志强刘振丘腾海易建强:多智能体分布式协调控制方法、装置、设备和存储介质发明专利号:ZL202210914313.2,授权日:20221028日。

[75]      艾晓琳,蒲志强,刘振,丘腾海,易建强:基于多个飞行器的协同制导方法、装置和电子设备发明专利号:ZL202210930556.5,授权日:20221028日。

[76]      艾晓琳,蒲志强,刘振,丘腾海,易建强:多无人机分布式编队控制方法、装置及电子设备发明专利号:ZL202210941902.X,授权日:20221028日。

[77]      艾晓琳,蒲志强,刘振,丘腾海,易建强:无人机三维路径规划方法、装置、电子设备和存储介质发明专利号:ZL202210953534.0,授权日:2022-10-28

[78]      丘腾海,付清旭,蒲志强,刘振,易建强:一种基于专注网络的集群对抗方法及装置2021-10-11, 发明专利号:ZL202111183478.9,授权日:20230103

[79]      刘振周志明乐,易建:群体同决策方法、装置、设备及存发明专利号:ZL202310104054.1,授日:20230505日。

已登记软件著作权
[1] 易建强,赵冬斌,洪义平,实时IC卡数字字符识别与校验系统,登记号:2004SR12867,发证时间:2004-12-24。
[2] 赵冬斌,易建强,体操机器人Acrobot控制系统仿真软件,登记号:2005SR06642,发证时间:2005-6-24。
[3] 易建强,赵冬斌,李新春,移动机械手路径规划三维仿真软件,登记号:2005SR06643,发证时间:2005-6-24。
[4] 赵冬斌,易建强,倒立摆机器人Pendubot控制系统仿真软件,登记号:2005SR06644,发证时间:2005-6-24。
[5] 易建强,赵冬斌,洪义平,鲁棒的自然图像分割软件,登记号:2005SR06645,发证时间:2005-6-24。
[6] 易建强,倒立单摆系统平衡控制仿真软件,登记号:2005SR07835,发证时间:2005-7-18。
[7] 赵冬斌,易建强,煤气化炉仿真虚拟仪器软件,登记号:2005SR07836,发证时间:2005-7-18。
[8] 易建强,赵冬斌,邓旭玥,全方位移动机器人运动控制仿真平台,登记号:2005SR07837,发证时间:2005-7-18。
[9] 易建强,赵冬斌,邓旭玥,全方位移动机械手控制软件系统,登记号:2005SR07838,发证时间:2005-7-18。
[10] 赵冬斌,易建强,Pendubot控制系统工具箱软件,登记号:2005SR07839,发证时间:2005-7-18。
[11] 易建强,赵冬斌,王伟,刘殿通,二维桥式吊车实验系统控制软件,登记号:2005SR07840,发证时间:2005-7-18。
[12] 易建强,赵冬斌,李新征,室内环境下自由移动机器人视觉定位系统软件系统,登记号:2005SR07841,发证时间:2005-7-18。
[13] 赵冬斌,易建强,Acrobot控制系统工具箱软件,登记号:2005SR07842,发证时间:2005-7-18。
[14] 易建强,赵冬斌,李佳宁,基于协作学习的移动机器人导航行为控制器仿真平台,登记号:2005SR11412,发证时间:2005-9-26。
[15] 易建强,赵冬斌,钟志光,环境污染检测软件系统,登记号:2005SR11419,发证时间:2005-9-26。
[16] 易建强,赵冬斌,卢雄辉,系统运行状态实时监测软件,登记号:2005SR11420,发证时间:2005-9-26。
[17] 易建强,赵冬斌,宋佐时,非完整系统轨迹跟踪问题动态仿真系统,登记号:2005SR15373,发证时间:2005-12-16。
[18] 赵冬斌,谭湘敏,易建强,徐冬,基于多线程技术的全方位移动机械手运动控制软件V1.0,登记号:2007SRBJ2741,发证时间:2007-11-09。
[19] 赵冬斌,易建强,基于蚁群优化算法的移动机器人路径规划仿真软件V1.0,登记号:2007SRBJ2742,发证时间:2007-11-09。
[20] 赵冬斌,易建强,旅行商问题的蚁群优化算法应用仿真软件V1.0,登记号:2007SRBJ2743,发证时间:2007-11-09。
[21] 赵冬斌,王大伟,易建强,全方位移动机械手网络遥操作软件V1.0,登记号:2007SRBJ2744,发证时间:2007-11-09。
[22] 易建强,赵冬斌,钱殿伟,船舶自动舵控制软件V1.0,登记号:2007SRBJ2745,发证时间:2007-11-09。
[23] 易建强,李涛,赵冬斌,基于嵌入式的家用电器智能整合控制系统软件系统V1.0,登记号:2009SRBJ4359,发证时间:2009-7-21。
[24] 易建强,赵冬斌,船舶用数字式航向记录与显示软件V1.0,登记号:2009SRBJ4363,发证时间:2009-7-21。
[25] 易建强,赵冬斌,余梓瑞,船舶用数字式分罗经显示软件V1.0,登记号:2009SRBJ4368,发证时间:2009-7-21。
[26] 易建强、余意,基于多线程技术的绳索牵引自动水平调节机器人控制系统,登记号:2009SRBJ8309,发证时间:2009-12-31。
[27] 易建强,熊华,范国梁,无人机自动着陆仿真软件V1.0,登记号:2010SRBJ2113,发证时间:2010-5-28。
[28] 易建强,熊华,范国梁,无人机自动起飞仿真软件,登记号:2010SRBJ3560,发证时间:2010-8-4。 
[29] 易建强、张建宏、谭湘敏,四绳索牵引水平调节机器人手自动综合控制软件,登记号:2011SR076386,发证时间:2011年10月24日。
[30] 蒲志强、易建强,吸气式高超声速飞行器鲁棒巡航飞行控制仿真软件V1.0,登记号:2014SR015253,发证时间:2014-2-11。
[31] 袁如意,易建强,常亚菲,自动化学科仿真实验工具软件V1.0,登记号:2014SR139765,发证时间: 2014-09-17。
[32] 袁如意,刘振,易建强,基于非确定等价原则的高超声速飞行器鲁棒自适应飞行控制仿真软件V1.0,登记号:2014SR139988,发证时间:2014-09-17。