发表论文
[1] 李浩然, 张曜程, 温颢玮, 朱圆恒, 赵冬斌. Stabilizing Diffusion Model for Robotic Control with Dynamic Programming and Transition Feasibility. IEEE Transactions on Artificial Intelligence[J]. 2024, [2] 李博宇, 李浩然, 朱圆恒, 赵冬斌. MAT: Morphological Adaptive Transformer for Universal Morphology Policy Learning. IEEE Transactions on Cognitive and Developmental Systems[J]. 2024, [3] 陈宇辉, 李浩然, 赵冬斌. Boosting Continuous Control with Consistency Policy. International Conference on Autonomous Agents and Multiagent Systemsnull. 2024, [4] Chai, Jiajun, Chen, Wenzhang, Zhu, Yuanheng, Yao, ZongXin, Zhao, Dongbin. A Hierarchical Deep Reinforcement Learning Framework for 6-DOF UCAV Air-to-Air Combat. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS[J]. 2023, 53(9): 5417-5429, http://dx.doi.org/10.1109/TSMC.2023.3270444.[5] Chai, Jiajun, Li, Weifan, Zhu, Yuanheng, Zhao, Dongbin, Ma, Zhe, Sun, Kewu, Ding, Jishiyu. UNMAS: Multiagent Reinforcement Learning for Unshaped Cooperative Scenarios. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2023, 34(4): 2093-2104, http://dx.doi.org/10.1109/TNNLS.2021.3105869.[6] Li, Nannan, Chen, Yaran, Li, Weifan, Ding, Zixiang, Zhao, Dongbin, Nie, Shuai. BViT: Broad Attention-Based Vision Transformer. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2023, http://dx.doi.org/10.1109/TNNLS.2023.3264730.[7] Tang, Zhentao, Zhu, Yuanheng, Zhao, Dongbin, Lucas, Simon M. Enhanced Rolling Horizon Evolution Algorithm With Opponent Model Learning: Results for the Fighting Game AI Competition. IEEE TRANSACTIONS ON GAMES[J]. 2023, 15(1): 5-15, http://dx.doi.org/10.1109/TG.2020.3022698.[8] 卢毅, 陈亚冉, 赵冬斌, 刘暴, 来志超, 王超楠. 关键点图对比图像分类方法. 智能系统学报[J]. 2023, 18(1): 36-46, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=7442151&detailType=1.[9] Hu, Guangzheng, Li, Haoran, Liu, Shasha, Zhu, Yuanheng, Zhao,Dongbin. NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks. 2023 International Joint Conference on Neural Networks(IJCNN)null. 2023, [10] Wang, Junjie, Zhang, Qichao, Zhao, Dongbin. Highway Lane Change Decision-Making via Attention-Based Deep Reinforcement Learning. IEEE-CAA JOURNAL OF AUTOMATICA SINICAnull. 2022, 9(3): 567-569, http://dx.doi.org/10.1109/JAS.2021.1004395.[11] Yuqi Liu, Qichao Zhang, Dongbin Zhao. Multi-task safe reinforcement learning for navigating intersections in dense traffic. Journal of the Franklin Institute[J]. 2022, [12] Li, Haoran, Duan, Zicheng, Li, Jiaqi, Ma, Mingjun, Chen, Yaran, Zhao, Dongbin. Neurons Perception Dataset for RoboMaster AI Challenge. 2022 IEEE World Congress on Computational Intelligence (WCCI)null. 2022, [13] Li, Weifan, Zhu, Yuanheng, Zhao, Dongbin. Missile guidance with assisted deep reinforcement learning for head-on interception of maneuvering target. COMPLEX & INTELLIGENT SYSTEMS[J]. 2022, 8(2): 1205-1216, http://dx.doi.org/10.1007/s40747-021-00577-6.[14] Ding, Zixiang, Chen, Yaran, Li, Nannan, Zhao, Dongbin, Sun, Zhiquan, Chen, C L Philip. BNAS: Efficient Neural Architecture Search Using Broad Scalable Architecture. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2022, 33(9): 5004-5018, http://dx.doi.org/10.1109/TNNLS.2021.3067028.[15] Zhang, Qichao, Gao, Yinfeng, Zhang, Yikang, Guo, Youtian, Ding, Dawei, Wang, Yunpeng, Sun, Peng, Zhao, Dongbin. TrajGen: Generating Realistic and Diverse Trajectories With Reactive and Feasible Agent Behaviors for Autonomous Driving. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS[J]. 2022, 23(12): 24474-24487, http://dx.doi.org/10.1109/TITS.2022.3202185.[16] 刘民颂, 李论通, 邵帅, 朱圆恒, 赵冬斌. Soft Contrastive Learning with Q-irrelevance Abstraction for Reinforcement Learning. Ieee transactions on cognitive and developmental systems[J]. 2022, [17] Junjie Wang, Qichao Zhang, Dongbin Zhao. Dynamic-Horizon Model-Based Value Estimation With Latent Imagination. IEEE Transactions on Neural Networks and Learning Systems[J]. 2022, [18] Zhu, Yuanheng, Li, Weifan, Zhao, Mengchen, Hao, Jianye, Zhao, Dongbin. Empirical Policy Optimization for n-Player Markov Games. IEEE TRANSACTIONS ON CYBERNETICS[J]. 2022, http://dx.doi.org/10.1109/TCYB.2022.3179775.[19] Zhu, Yuanheng, Zhao, Dongbin. Online Minimax Q Network Learning for Two-Player Zero-Sum Markov Games. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2022, 33(3): 1228-1241, http://dx.doi.org/10.1109/TNNLS.2020.3041469.[20] Li, Nannan, Pan, Yu, Chen, Yaran, Ding, Zixiang, Zhao, Dongbin, Xu, Zenglin. Heuristic rank selection with progressively searching tensor ring network. COMPLEX & INTELLIGENT SYSTEMS[J]. 2022, 8(2): 771-785, http://dx.doi.org/10.1007/s40747-021-00308-x.[21] Li, Haoran, Chen, Yaran, Zhang, Qichao, Zhao, Dongbin. BiFNet: Bidirectional Fusion Network for Road Segmentation. IEEE TRANSACTIONS ON CYBERNETICS[J]. 2022, 52(9): 8617-8628, http://dx.doi.org/10.1109/TCYB.2021.3105488.[22] Ding, Zixiang, Chen, Yaran, Li, Nannan, Zhao, Dongbin. BNAS-v2: Memory-Efficient and Performance-Collapse-Prevented Broad Neural Architecture Search. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS[J]. 2022, 52(10): 6259-6272, http://dx.doi.org/10.1109/TSMC.2022.3143201.[23] 唐振韬, 梁荣钦, 朱圆恒, 赵冬斌. 实时格斗游戏的智能决策方法. 控制理论与应用. 2022, 39(6): 969-985, https://d.wanfangdata.com.cn/periodical/kzllyyy202206001.[24] Lu, Yi, Chen, Yaran, Zhao, Dongbin, Liu, Bao, Lai, Zhichao, Chen, Jianxin. CNN-G: Convolutional Neural Network Combined With Graph for Image Segmentation With Theoretical Analysis. IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS[J]. 2021, 13(3): 631-644, http://dx.doi.org/10.1109/TCDS.2020.2998497.[25] Chai, Jiajun, Li, Weifan, Zhu, Yuanheng, Zhao, Dongbin, Ma, Zhe, Sun, Kewu, Ding, Jishiyu. UNMAS: Multiagent Reinforcement Learning for Unshaped Cooperative Scenarios. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2021, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000733450200001.[26] Li, Haoran, Chen, Yaran, Zhang, Qichao, Zhao, Dongbin. BiFNet: Bidirectional Fusion Network for Road Segmentation. IEEE TRANSACTIONS ON CYBERNETICS[J]. 2021, http://dx.doi.org/10.1109/TCYB.2021.3105488.[27] Zhu, Yuanheng, Zhao, Dongbin, He, Haibo. Optimal Feedback Control of Pedestrian Flow in Heterogeneous Corridors. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING[J]. 2021, 18(3): 1097-1108, http://dx.doi.org/10.1109/TASE.2020.2996018.[28] Li, Weifan, Zhu, Yuanheng, Zhao, Dongbin. Missile guidance with assisted deep reinforcement learning for head-on interception of maneuvering target. COMPLEXINTELLIGENTSYSTEMS[J]. 2021, 12-, [29] Lu, Yi, Chen, Yaran, Zhao, Dongbin, Li, Dong. MGRL: Graph neural network based inference in a Markov network with reinforcement learning for visual navigation. NEUROCOMPUTING[J]. 2021, 421: 140-150, http://dx.doi.org/10.1016/j.neucom.2020.07.091.[30] Ding, Zixiang, Chen, Yaran, Li, Nannan, Zhao, Dongbin, Sun, Zhiquan, Chen, C L Philip. BNAS: Efficient Neural Architecture Search Using Broad Scalable Architecture. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. 2021, http://dx.doi.org/10.1109/TNNLS.2021.3067028.[31] Hu, Guangzheng, Zhu, Yuanheng, Zhao, Dongbin, Zhao, Mengchen, Hao, Jianye. Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2021, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000732283100001.[32] Zhu, Yuanheng, He, Haibo, Zhao, Dongbin. LMI-Based Synthesis of String-Stable Controller for Cooperative Adaptive Cruise Control. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS[J]. 2020, 21(11): 4516-4525, https://www.webofscience.com/wos/woscc/full-record/WOS:000587709700003.[33] Zhu, Yuanheng, Zhao, Dongbin, He, Haibo. Synthesis of Cooperative Adaptive Cruise Control With Feedforward Strategies. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY[J]. 2020, 69(4): 3615-3627, https://www.webofscience.com/wos/woscc/full-record/WOS:000530284400009.[34] Zhao Dongbin. A spatial-temporal LSTM model for human trajectory prediction. IEEE/CAA Journal of Automation Sinica. 2020, [35] Zhao, Xiaodong, Chen, Yaran, Guo, Jin, Zhao, Dongbin. A spatial-temporal attention model for human trajectory prediction. IEEE-CAA JOURNAL OF AUTOMATICA SINICA[J]. 2020, 7(4): 965-974, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=6763868&detailType=1.[36] Wang, Xu, Liu, Jingwei, Wu, Chaoyong, Liu, Junhong, Li, Qianqian, Chen, Yufeng, Wang, Xinrong, Chen, Xinli, Pang, Xiaohan, Chang, Binglong, Lin, Jiaying, Zhao, Shifeng, Li, Zhihong, Deng, Qingqiong, Lu, Yi, Zhao, Dongbin, Chen, Jianxin. Artificial intelligence in tongue diagnosis: Using deep convolutional neural network for recognizing unhealthy tongue with tooth-mark. COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL[J]. 2020, 18: 973-980, https://doaj.org/article/dd1c9f66bc8e44049bdda09f7ddac7ce.[37] Mu, Chaoxu, Wang, Ke, Zhang, Qichao, Zhao, Dongbin. Hierarchical optimal control for input-affine nonlinear systems through the formulation of Stackelberg game. INFORMATION SCIENCES[J]. 2020, 517: 1-17, http://dx.doi.org/10.1016/j.ins.2019.12.078.[38] Li, Haoran, Zhang, Qichao, Zhao, Dongbin. Deep Reinforcement Learning-Based Automatic Exploration for Navigation in Unknown Environment. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2020, 31(6): 2064-2076, http://dx.doi.org/10.1109/TNNLS.2019.2927869.[39] Shao, Kun, Zhu, Yuanheng, Tang, Zhentao, Zhao, Dongbin, IEEE. Cooperative Multi-Agent Deep Reinforcement Learning with Counterfactual Reward. 2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2020, [40] Liu, Minsong, Zhu, Yuanheng, Zhao, Dongbin, IEEE. An Improved Minimax-Q Algorithm Based on Generalized Policy Iteration to Solve a Chaser-Invader Game. 2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2020, [41] Zhu, Yuanheng, Zhao, Dongbin, He, Haibo. Invariant Adaptive Dynamic Programming for Discrete-Time Optimal Control. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS[J]. 2020, 50(11): 3959-3971, http://dx.doi.org/10.1109/TSMC.2019.2911900.[42] Li, Haoran, Zhang, Qichao, Zhao, Dongbin, Chen, Yaran, IEEE. RailNet: An Information Aggregation Network for Rail Track Segmentation. 2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2020, [43] Zhao Dongbin. Advances in Deep Neural Information Processing - Editorial. Neurocomputing. 2020, [44] Zhao, Dongbin, Duan, Shukai, Yan, Zheng, Alippi, Cesare. Advances in deep neural information processing. NEUROCOMPUTING. 2020, 408: 80-81, http://dx.doi.org/10.1016/j.neucom.2020.01.001.[45] Zhao Dongbin. Adaptive optimal control of cooperative adaptive cruise control with uncertain heterogeneous vehicles. IEEE Control System Technology. 2019, [46] Zhu, Yuanheng, Zhao, Dongbin, Li, Xiangjun, Wang, Ding. Control-Limited Adaptive Dynamic Programming for Multi-Battery Energy Storage Systems. IEEE TRANSACTIONS ON SMART GRID[J]. 2019, 10(4): 4235-4244, https://www.webofscience.com/wos/woscc/full-record/WOS:000472577500065.[47] Lu, Yi, Chen, Yaran, Zhao, Dongbin, Chen, Jianxin, Lu, H, Tang, H, Wang, Z. Graph-FCN for Image Semantic Segmentation. ADVANCES IN NEURAL NETWORKS - ISNN 2019, PT Inull. 2019, 11554: 97-105, [48] Gao, Yinfeng, Liu, Yuqi, Zhang, Qichao, Wang, Yu, Zhao, Dongbin, Ding, Dawei, Pang, Zhonghua, Zhang, Yueming, IEEE. Comparison of Control Methods Based on Imitation Learning for Autonomous Driving. 2019 TENTH INTERNATIONAL CONFERENCE ON INTELLIGENT CONTROL AND INFORMATION PROCESSING (ICICIP)null. 2019, 274-281, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000613247000046.[49] Shao, Kun, Zhu, Yuanheng, Zha, Dongbin. StarCraft Micromanagement With Reinforcement Learning and Curriculum Transfer Learning. IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE[J]. 2019, 3(1): 73-84, http://dx.doi.org/10.1109/TETCI.2018.2823329.[50] Zhu, Yuanheng, He, Haibo, Zhao, Dongbin, Hou, Zhongsheng, IEEE. Optimal Pedestrian Evacuation in Building with Consecutive Differential Dynamic Programming. 2019 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2019, [51] Su, Hao, Chen, Yaran, Tong, Shiwen, Zhao, Dongbin, IEEE. Real-time multiple object tracking based on optical flow. 2019 9TH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY (ICIST2019)null. 2019, 350-356, [52] Lv, Le, Zhao, Dongbin, Shao, Kun. Deep sparse representation-based mid-level visual elements discovery in fine-grained classification. SOFT COMPUTING[J]. 2019, 23(18): 8711-8722, http://dx.doi.org/10.1007/s00500-018-3468-3.[53] Chen, Yaran, Zhao, Dongbin, Li, Haoran, IEEE. Deep Kalman Filter with Optical Flow for Multiple Object Tracking. 2019 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC)null. 2019, 3036-3041, [54] Li, Dong, Zhao, Dongbin, Zhang, Qichao, Chen, Yaran. Reinforcement Learning and Deep Learning Based Lateral Control for Autonomous Driving. IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE[J]. 2019, 14(2): 83-98, http://ir.ia.ac.cn/handle/173211/23517.[55] Wang, Bin, Zhao, Dongbin, Cheng, Jin. Adaptive cruise control via adaptive dynamic programming with experience replay. SOFT COMPUTING[J]. 2019, 23(12): 4131-4144, http://ir.ia.ac.cn/handle/173211/24396.[56] Nannan Li, Yaran Chen, Zixiang Ding, Dongbin Zhao, Zhonghua Pang, Ruisheng Qin. Multi-Objective Neural Architecture Search for Light-Weight Model. 2019, [57] Li, Dong, Zhao, Dongbin, Zhang, Qichao, IEEE. Reinforcement Learning based Lane Change Decision-Making with Imaginary Sampling. 2019 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI 2019)null. 2019, 16-21, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000555467200003.[58] Zhang, Qichao, Zhao, Dongbin. Data-Based Reinforcement Learning for Nonzero-Sum Games With Unknown Drift Dynamics. IEEE TRANSACTIONS ON CYBERNETICS[J]. 2019, 49(8): 2874-2885, http://ir.ia.ac.cn/handle/173211/24567.[59] Wang, Junjie, Zhang, Qichao, Zhao, Dongbin, Chen, Yaran, IEEE. Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints. 2019 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2019, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000530893803042.[60] Zhu, Yuanheng, Zhao, Dongbin, Zhong, Zhiguang. Adaptive Optimal Control of Heterogeneous CACC System With Uncertain Dynamics. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY[J]. 2019, 27(4): 1772-1779, [61] Zhang, Qichao, Luo, Rui, Zhao, Dongbin, Luo, Chaomin, Qian, Dianwei, IEEE. Model-Free Reinforcement Learning based Lateral Control for Lane Keeping. 2019 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2019, [62] Tang Zhentao, Shao Kun, Zhu Yuanheng, Li Dong, Zhao Dongbin, Huang Tingwen, Sundaram S. A Review of Computational Intelligence for StarCraft AI. 2018 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI)null. 2018, 1167-1173, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000459238800159.[63] Zhao, Xiaodong, Zhang, Qichao, Zhao, Dongbin, Pang, Zhonghua, Sun, MX, Zhang, HG. Overview of Image Segmentation and Its Application on Free Space Detection. PROCEEDINGS OF 2018 IEEE 7TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS)null. 2018, 1164-1169, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000450645900210.[64] Tang Zhentao, Zhao Dongbin, Zhu Yuanheng, Guo Ping, IEEE. Reinforcement Learning for Build-Order Production in StarCraft II. 2018 8TH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY (ICIST 2018)null. 2018, 153-158, [65] Chen, Yaran, Zhao, Dongbin, Lv, Le, Zhang, Qichao. Multi-task learning for dangerous object detection in autonomous driving. INFORMATION SCIENCES[J]. 2018, 432(*): 559-571, http://dx.doi.org/10.1016/j.ins.2017.08.035.[66] Zhu, Yuanheng, Zhao, Dongbin. Comprehensive comparison of online ADP algorithms for continuous-time optimal control. ARTIFICIAL INTELLIGENCE REVIEW[J]. 2018, 49(4): 531-547, https://www.webofscience.com/wos/woscc/full-record/WOS:000426912500004.[67] Zhang, Zhen, Wang, Dongqing, Zhao, Dongbin, Han, Qiaoni, Song, Tingting. A Gradient-Based Reinforcement Learning Algorithm for Multiple Cooperative Agents. IEEE ACCESS[J]. 2018, 6: 70223-70235, http://ir.ia.ac.cn/handle/173211/25665.[68] Zhao Dongbin, Li Haoran, Li Dong, Guo Ping, Chen Yaran. A Temporal-based Deep Learning Method for Multiple Objects Detection in Autonomous Driving. 2018, http://ir.ia.ac.cn/handle/173211/23521.[69] Tang Zhentao, Shao Kun, Zhu Yuanheng, Li Dong, Zhao Dongbin, Huang Tingwen, Sundaram S. A Review of Computational Intelligence for StarCraft AI. 2018 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI)null. 2018, 1167-1173, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000459238800159.[70] Zhao, Dongbin, Liu, Derong, Lewis, F L, Principe, Jose C, Squartini, Stefano. Special Issue on Deep Reinforcement Learning and Adaptive Dynamic Programming. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. 2018, 29(6): 2038-2041, https://www.webofscience.com/wos/woscc/full-record/WOS:000432398300001.[71] Li Dong, Zhao Dongbin, Zhang Qichao, Zhu Yuanheng, Sundaram S. An Autonomous Driving Experience Platform with Learning-Based Functions. 2018 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI)null. 2018, 1174-1179, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000459238800160.[72] Yuanheng Zhu, Nannan Li, Kun Shao, Dongbin Zhao. Learning battles in ViZDoom via deep reinforcement learning. 2018, http://ir.ia.ac.cn/handle/173211/23364.[73] Zhang, Qichao, Zhao, Dongbin, Lewis, Frank L, IEEE. Model-Free Reinforcement Learning for Fully Cooperative Multi-Agent Graphical Games. 2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2018, [74] Zhu, Yuanheng, Zhao, Dongbin, Yang, Xiong, Zhang, Qichao. Policy Iteration for H infinity Optimal Control of Polynomial Nonlinear Systems via Sum of Squares Programming. IEEE TRANSACTIONS ON CYBERNETICS[J]. 2018, 48(2): 500-509, https://www.webofscience.com/wos/woscc/full-record/WOS:000422925700005.[75] Zhang, Qichao, Zhao, Dongbin, Wang, Ding. Event-Based Robust Control for Uncertain Nonlinear Systems Using Adaptive Dynamic Programming. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2018, 29(1): 37-50, https://www.webofscience.com/wos/woscc/full-record/WOS:000419558900004.[76] Shao, Kun, Zhao, Dongbin, Zhu, Yuanheng, Zhang, Qichao, IEEE. Visual Navigation with Actor-Critic Deep Reinforcement Learning. 2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2018, [77] Chen, Yaran, Zhao, Dongbin, Li, Haoran, Li, Dong, Guo, Ping, IEEE. A temporal-based deep learning method for multiple objects detection in autonomous driving. 2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2018, [78] Wu, I C, Lee, C S, Tian, Y, Mueller, M. Guest Editorial Special Issue on Deep/Reinforcement Learning and Games. IEEE TRANSACTIONS ON GAMESnull. 2018, 10(4): 333-335, https://www.webofscience.com/wos/woscc/full-record/WOS:000453577300001.[79] Bu, Li, Alippi, Cesare, Zhao, Dongbin. A pdf-Free Change Detection Test Based on Density Difference Estimation. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2018, 29(2): 324-334, https://www.webofscience.com/wos/woscc/full-record/WOS:000422952400007.[80] Zhao Dongbin. Comprehesive comparison of online ADP algorithms for continuous-time optimal control. Artificial Intelligence Review. 2018, [81] Li, Dong, Zhao, Dongbin, Chen, Yaran, Zhang, Qichao, IEEE. DeepSign: Deep Learning based Traffic Sign Recognition. 2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2018, [82] Lu, Yi, Chen, Yaran, Zhao, Dongbin, Li, Haoran, IEEE. Hybrid Deep Learning Based Moving Object Detection via Motion prediction. 2018 CHINESE AUTOMATION CONGRESS (CAC)null. 2018, 1442-1447, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000459239501089.[83] Zhu Yuanheng, Zhang Qichao, Zhao Dongbin, Li Dong. An Autonomous Driving Experience Platform with Learning-Based Functions. 2018 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI)null. 2018, 1174-1179, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000459238800160.[84] Yuanheng Zhu, Qichao Zhang, Dongbin Zhao, Kun Shao. Visual navigation with Actor-Critic deep reinforcement learning. 2018, http://ir.ia.ac.cn/handle/173211/23365.[85] Lv, Le, Zhao, Dongbin, Deng, Qingqiong. A Semi-Supervised Predictive Sparse Decomposition Based on Task-Driven Dictionary Learning. COGNITIVE COMPUTATION[J]. 2017, 9(1): 115-124, https://www.webofscience.com/wos/woscc/full-record/WOS:000394418100008.[86] Zhao, Dongbin, Xia, Zhongpu, Zhang, Qichao. Model-free Optimal Control based Intelligent Cruise Control with Hardware-in-the-loop Demonstration. IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE[J]. 2017, 12(2): 56-69, http://dx.doi.org/10.1109/MCI.2017.2670463.[87] Zhao Dongbin. Event-triggered optimal control for nonlinear constrained-input systems with partially unknown dynamics via adaptive dynamic programming. IEEE Transactions on Industrial Electronics. 2017, [88] Zhang Qichao, Zhao Dongbin, Wang Ding, Sun F, Liu H, Hu D. Event-Triggered Adaptive Dynamic Programming for Uncertain Nonlinear Systems. COGNITIVE SYSTEMS AND SIGNAL PROCESSING, ICCSIP 2016null. 2017, 710: 13-26, [89] Zhao Dongbin, Zhang Qichao. Data-driven adaptive dynamic programming for two-player nonzero-sum game. 2017, http://ir.ia.ac.cn/handle/173211/14342.[90] Shengli Xie, Derong Liu, Dongbin Zhao, ElSayed M ElAlfy, Yuanqing Li. Neural Information Processing. NEURALINFORMATIONPROCESSINGLECTURENOTESINCOMPUTERSCIENCE. 2017, 10636, 10637, 10638, 10639,-, http://ir.ia.ac.cn/handle/173211/19892.[91] Chen, Yaran, Zhao, Dongbin, Cong, F, Leung, A, Wei, Q. Multi-task Learning with Cartesian Product-Based Multi-objective Combination for Dangerous Object Detection. ADVANCES IN NEURAL NETWORKS, PT Inull. 2017, 10261: 28-35, [92] Zhang Qichao, Zhao Dongbin, Zhou Yafei, IEEE. Data-Driven Adaptive Dynamic Programming for Two-Player Nonzero-Sum Game. 2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC)null. 2017, 3445-3450, [93] Bu, Li, Zhao, Dongbin, Alippi, Cesare. An Incremental Change Detection Test Based on Density Difference Estimation. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS[J]. 2017, 47(10): 2714-2726, https://www.webofscience.com/wos/woscc/full-record/WOS:000411098200009.[94] Zhang, Qichao, Zhao, Dongbin, Zhu, Yuanheng. Event-Triggered H-infinity Control for Continuous-Time Nonlinear System via Concurrent Learning. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS[J]. 2017, 47(7): 1071-1081, https://www.webofscience.com/wos/woscc/full-record/WOS:000404354600004.[95] Zhang, Zhen, Zhao, Dongbin, Gao, Junwei, Wang, Dongqing, Dai, Yujie. FMRQ-A Multiagent Reinforcement Learning Algorithm for Fully Cooperative Tasks. IEEE TRANSACTIONS ON CYBERNETICS[J]. 2017, 47(6): 1367-1379, http://dx.doi.org/10.1109/TCYB.2016.2544866.[96] Li Dong, Zhao Dongbin, Zhang Qichao, Luo Chaomin, IEEE. Policy Gradient Methods with Gaussian Process Modelling Acceleration. 2017 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2017, 1774-1779, [97] Zhu, Yuanheng, Zhao, Dongbin, He, Haibo, Ji, Junhong. Event-Triggered Optimal Control for Partially Unknown Constrained-Input Systems via Adaptive Dynamic Programming. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS[J]. 2017, 64(5): 4101-4109, https://www.webofscience.com/wos/woscc/full-record/WOS:000399674000064.[98] Shao, Kun, Zhu, Yuanheng, Zhao, Dongbin, IEEE. Cooperative Reinforcement Learning for Multiple Units Combat in StarCraft. 2017 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI)null. 2017, 809-814, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000428251400112.[99] Deng QingQiong, Zhao Dongbin, Lv Le. Image Clustering based on Deep Sparse Representations. 2016 IEEE Symposium Series on Computational Intelligence: SSCI 2016, Athens, Greece, 6-9 December 2016, pages 2037-2712, v.4null. 2017, 2108-2113, http://ir.ia.ac.cn/handle/173211/14471.[100] Dongbin Zhao, Li Bu, Cesare Alippi, Qinglai Wei. A Kolmogorov-Smirnov Test to Detect Changes in Stationarity in Big Data. IFAC PAPERSONLINE. 2017, 50(1): 14260-14265, http://dx.doi.org/10.1016/j.ifacol.2017.08.1821.[101] Bu Li, Zhao Dongbin, Alippi Cesare. An Incremental Change Detection Test Based on Density Difference Estimation. IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS[J]. 2017, [102] Li, Chengdong, Ding, Zixiang, Zhao, Dongbin, Yi, Jianqiang, Zhang, Guiqing. Building Energy Consumption Prediction: An Extreme Deep Learning Approach. ENERGIES[J]. 2017, 10(10): https://doaj.org/article/97e10cd1f86645f384b67cc9b9f33881.[103] Zhang, Qichao, Zhao, Dongbin, IEEE. Event-triggered integral reinforcement learning for nonlinear continuous-time systems. 2017 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI)null. 2017, 442-447, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000428251400063.[104] Zhang, Qichao, Zhao, Dongbin, Zhu, Yuanheng. Data-driven adaptive dynamic programming for continuous-time fully cooperative games with partially constrained inputs. NEUROCOMPUTING[J]. 2017, 238(*): 377-386, http://dx.doi.org/10.1016/j.neucom.2017.01.076.[105] Zhao, Dongbin, Chen, Yaran, Lv, Le. Deep Reinforcement Learning With Visual Attention for Vehicle Classification. IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS[J]. 2017, 9(4): 356-367, http://dx.doi.org/10.1109/TCDS.2016.2614675.[106] Li Dong, Zhao Dongbin, Zhang Qichao, Luo Chaomin, IEEE. Policy Gradient Methods with Gaussian Process Modelling Acceleration. 2017 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2017, 1774-1779, [107] Qichao Zhang, Haoran Li, Dongbin Zhao. Comparison of methods to efficient graph SLAM under general optimization framework. YAC 2017null. 2017, *-, http://ir.ia.ac.cn/handle/173211/19422.[108] Zhao Dongbin. Editorial: new developments in neural network structures for signal processing, autonomous decision, and adaptive controll. IEEE Transactions on Neural Networks and Learning Systems. 2017, [109] Li, Haoran, Zhang, Qichao, Zhao, Dongbin, IEEE. Comparison of Methods to Efficient Graph SLAM Under General Optimization Framework. 2017 32ND YOUTH ACADEMIC ANNUAL CONFERENCE OF CHINESE ASSOCIATION OF AUTOMATION (YAC)null. 2017, 321-326, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000425862800060.[110] Tang Zhentao, Lv Le, Shao Kun, Zhao Dongbin. ADP with MCTS algorithm for Gomoku. 2017, http://ir.ia.ac.cn/handle/173211/14475.[111] 朱圆恒, 赵冬斌, 邵坤. Cooperative Reinforcement Learning for Multiple Units Combat in StarCraft. 2017, http://ir.ia.ac.cn/handle/173211/15399.[112] 唐振韬, 邵坤, 赵冬斌, 朱圆恒. 深度强化学习进展: 从 AlphaGo 到 AlphaGo Zero. 控 制 理 论 与 应 用[J]. 2017, 34(12): 1529-1546, http://lib.cqvip.com/Qikan/Article/Detail?id=7000480876.[113] Zhu, Yuanheng, Zhao, Dongbin, Li, Xiangjun. Iterative Adaptive Dynamic Programming for Solving Unknown Nonlinear Zero-Sum Game Based on Online Data. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2017, 28(3): 714-725, https://www.webofscience.com/wos/woscc/full-record/WOS:000395980500020.[114] Zhao Dongbin, Wei Qinglai, Alippi Cesare, Bu Li. A Kolmogorov-Smirnov Test to Detect Changes in Stationarity in Big Data. IFAC PAPERSONLINEnull. 2017, 50(1): 14260-14265, http://dx.doi.org/10.1016/j.ifacol.2017.08.1821.[115] Zhang Qichao, Zhao Dongbin, Zhu Yuanheng. Event-Triggered $H_\\infty $ Control for Continuous-Time Nonlinear System via Concurrent Learning. IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS[J]. 2017, [116] Wang, Ding, Liu, Derong, Zhang, Qichao, Zhao, Dongbin. Data-Based Adaptive Critic Designs for Nonlinear Robust Optimal Control With Uncertain Dynamics. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS[J]. 2016, 46(11): 1544-1555, https://www.webofscience.com/wos/woscc/full-record/WOS:000386225800006.[117] Tang, Yufei, He, Haibo, Ni, Zhen, Zhong, Xiangnan, Zhao, Dongbin, Xu, Xin. Fuzzy-Based Goal Representation Adaptive Dynamic Programming. IEEE TRANSACTIONS ON FUZZY SYSTEMS[J]. 2016, 24(5): 1159-1175, http://dx.doi.org/10.1109/TFUZZ.2015.2505327.[118] Zhu, Yuanheng, Zhao, Dongbin, Li, Xiangjun. Using reinforcement learning techniques to solve continuous-time non-linear optimal tracking problem without system dynamics. IET CONTROL THEORY AND APPLICATIONS[J]. 2016, 10(12): 1339-1347, [119] Zhu Yuanheng, Chen Xi, Zhao Dongbin, Zhang Qichao. Model-free reinforcement learning for nonlinear zero-sum games with simultaneous explorations. 2016, http://ir.ia.ac.cn/handle/173211/14340.[120] Li Dong, Xia Zhongpu, Zhao Dongbin. A Perturbed Gaussian Process Regression with Chunk Sparsification for Tracking Non-stationary Systems. PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC)null. 2016, 6639-6644, [121] Zhao Dongbin, Alippi Cesare, Bu Li. Ensemble LSDD-based change detection tests. 2016, http://ir.ia.ac.cn/handle/173211/14332.[122] 周彤, 李栋, 朱圆恒, 王成红, 刘德荣, 王海涛, 陈亚冉, 邵坤, 赵冬斌. 深度强化学习综述:兼论计算机围棋的发展. 控制理论与应用[J]. 2016, 33(6): 701-717, [123] Zhao Dongbin, Wang Haitao, Shao Kun, Zhu Yuanheng, IEEE. Deep Reinforcement Learning with Experience Replay Based on SARSA. PROCEEDINGS OF 2016 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI)null. 2016, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000400488300013.[124] 孙长银, 王成红, 胡跃明, 赵东斌, 周彤, 苏剑波. “机器智能、系统优化与最优决策”专刊前言. 控制理论与应用[J]. 2016, 33(12): 1553-1554, http://lib.cqvip.com/Qikan/Article/Detail?id=7000119650.[125] Shao, Kun, Zhao, Dongbin, Tang, Zhentao, Zhu, Yuanheng, IEEE. Move Prediction in Gomoku Using Deep Learning. 2016 31ST YOUTH ACADEMIC ANNUAL CONFERENCE OF CHINESE ASSOCIATION OF AUTOMATION (YAC)null. 2016, 292-297, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000392695100051.[126] Zhao Dongbin. Model-free iterative adaptive dynamic programming solving unknown nonlinear zero-sum game based on online measurement. IEEE Transactions on Neural Networks and Learning Systems. 2016, [127] ZhuYuanheng, ShaoKun, WangHaitao, 赵冬斌. Deep reinforcement learning with Experience Replay based on SARSA. 2016, http://ir.ia.ac.cn/handle/173211/19877.[128] Dongbin Zhao, Le Lv, Qingqiong Deng. Image clustering based on the deep sparse representations. COMPUTATIONAL INTELLIGENCE (SSCI), 2016 IEEE SYMPOSIUM SERIES ONnull. 2016, 1-6, http://ir.ia.ac.cn/handle/173211/19423.[129] Zhao, Dongbin, Zhang, Qichao, Wang, Ding, Zhu, Yuanheng. Experience Replay for Optimal Control of Nonzero-Sum Game Systems With Unknown Dynamics. IEEE TRANSACTIONS ON CYBERNETICS[J]. 2016, 46(3): 854-865, https://www.webofscience.com/wos/woscc/full-record/WOS:000370963500023.[130] Chen, Yaran, Zhao, Dongbin, Lv, Le, Li, Chengdong, IEEE. A Visual Attention Based Convolutional Neural Network for Image Classification. PROCEEDINGS OF THE 2016 12TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA)null. 2016, 764-769, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000388373802067.[131] Bu Li, Alippi Cesare, Zhao Dongbin, IEEE. Ensemble LSDD-based Change Detection Tests. 2016 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2016, 4064-4069, [132] Xia, Zhongpu, Zhao, Dongbin. Online reinforcement learning control by Bayesian inference. IET CONTROL THEORY AND APPLICATIONS[J]. 2016, 10(12): 1331-1338, https://www.webofscience.com/wos/woscc/full-record/WOS:000381410000003.[133] 赵冬斌, 朱圆恒. 概率近似正确的强化学习算法解决连续状态空间控制问题. 控制理论与应用[J]. 2016, 33(12): 1603-1613, http://lib.cqvip.com/Qikan/Article/Detail?id=7000119656.[134] Wang, Ding, Liu, Derong, Zhang, Qichao, Zhao, Dongbin. Data-Based Adaptive Critic Designs for Nonlinear Robust Optimal Control With Uncertain Dynamics. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS[J]. 2016, 46(11): 1544-1555, https://www.webofscience.com/wos/woscc/full-record/WOS:000386225800006.[135] Ni, Zhen, He, Haibo, Zhao, Dongbin, Xu, Xin, Prokhorov, Danil V. GrDHP: A General Utility Function Representation for Dual Heuristic Dynamic Programming. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2015, 26(3): 614-627, http://dx.doi.org/10.1109/TNNLS.2014.2329942.[136] Zhao Dongbin, ZhangQichao, Li Chengdong, Wei Qinglai. Consensus of Heterogeneous Multi-agent Systems With Switching Topologies Using Input-output Feedback Linearization. 2015 34th Chinese control conference: CCC 2015, Hangzhou, China, 28-30 July 2015, pages 6414-7296, v.8null. 2015, 6872-6877, http://ir.ia.ac.cn/handle/173211/14338.[137] Zhang, Qichao, Zhao, Dongbin, Wei, Qinglai, Li, Chengdong, Zhao, Q, Liu, S. Consensus of Heterogeneous Multi-agent Systems With Switching Topologies Using Input-output Feedback Linearization. 2015 34TH CHINESE CONTROL CONFERENCE (CCC)null. 2015, 6872-6877, [138] Squartini, Stefano, Liu, Derong, Piazza, Francesco, Zhao, Dongbin, He, Haibo. Computational Energy Management in Smart Grids. NEUROCOMPUTING. 2015, 170: 267-269, http://dx.doi.org/10.1016/j.neucom.2015.05.110.[139] Zhu, Yuanheng, Zhao, Dongbin, He, Haibo, Ji, Junhong. Convergence Proof of Approximate Policy Iteration for Undiscounted Optimal Control of Discrete-Time Systems. COGNITIVE COMPUTATION[J]. 2015, 7(6): 763-771, http://ir.ia.ac.cn/handle/173211/10525.[140] 王革, 刘广天, 汪海洪, 巩可欣, 赵冬斌. 能源存储:一种新的方法. 能源存储:一种新的方法. 2015, http://ir.ia.ac.cn/handle/173211/19889.[141] Zhao, Dongbin, Zhu, Yuanheng. MEC-A Near-Optimal Online Reinforcement Learning Algorithm for Continuous Deterministic Systems. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2015, 26(2): 346-356, http://www.irgrid.ac.cn/handle/1471x/980893.[142] Zhu, Yuanheng, Zhao, Dongbin. A data-based online reinforcement learning algorithm satisfying probably approximately correct principle. NEURAL COMPUTING & APPLICATIONS[J]. 2015, 26(4): 775-787, http://www.irgrid.ac.cn/handle/1471x/980902.[143] 赵冬斌, Yuanheng Zhu. Model-Free Adaptive Algorithm for Optimal Control of Continuous-Time Nonlinear System. 2015, http://ir.ia.ac.cn/handle/173211/15282.[144] Zhao Dongbin, Zhang Qichao, Li Xiangjun, Kong Lingda, Hu X, Xia Y, Zhang Y, Zhao D. Event-Triggered H-infinity Control for Continuous-Time Nonlinear System. ADVANCES IN NEURAL NETWORKS - ISNN 2015null. 2015, 9377: 62-70, [145] Xu, Xin, He, Haibo, Zhao, Dongbin, Sun, Shiliang, Busoniu, Lucian, Yang, Simon X. Machine Learning with Applications to Autonomous Systems. MATHEMATICAL PROBLEMS IN ENGINEERING[J]. 2015, 2015: http://ir.ia.ac.cn/handle/173211/10500.[146] Li Dong, Zhao Dongbin, Zhu Yuanheng, Xia Zhongpu, IEEE. Thermal Comfort Control Based on MEC Algorithm for HVAC Systems. 2015 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2015, [147] Dongbin Zhao, 夏中谱. Online Reinforcement Learning by Bayesian Inference. PROCEEDINGS OF INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS 2015null. 2015, http://ir.ia.ac.cn/handle/173211/11434.[148] 徐延才, 王澄, 赵冬斌, 刘德荣, 魏庆来. 智能小区商业模式及运营策略分析. 电力系统保护与控制[J]. 2015, 43(6): 147-154, http://lib.cqvip.com/Qikan/Article/Detail?id=663987471.[149] 赵冬斌, ZhangZhen. Clique-based cooperative multiagent reinforcement learning using factor graphs. IEEE/CAA JOURNAL OF AUTOMATICA SINICA[J]. 2015, 3(1): 248-256, http://ir.ia.ac.cn/handle/173211/19321.[150] Zhao, Dongbin, Xia, Zhongpu, Wang, Ding. Model-Free Optimal Control for Affine Nonlinear Systems With Convergence Analysis. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING[J]. 2015, 12(4): 1461-1468, http://dx.doi.org/10.1109/TASE.2014.2348991.[151] Zhao Dongbin. Model-free optimal control for affine nonlinear systems based on action dependent heuristic dynamic programming with convergency analysis. IEEE Transactions on Automation and Science Engineering. 2015, [152] Zhu, Yuanheng, Zhao, Dongbin, Liu, Derong. Convergence analysis and application of fuzzy-HDP for nonlinear discrete-time HJB systems. NEUROCOMPUTING[J]. 2015, 149: 124-131, http://dx.doi.org/10.1016/j.neucom.2013.11.055.[153] Wang Haitao, Zhao Dongbin, Li Chengdong, IEEE. Online Synchronous Policy Iteration Based on Concurrent Learning to Solve Continuous-time Optimal Control Problem. 2015 5TH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY (ICIST)null. 2015, 297-302, [154] Li Dong, Xia Zhongpu, Zhu Yuanheng, Zhao Dongbin. Thermal Comfort Control Based on MEC Algorithm for HVAC System. 2015, http://ir.ia.ac.cn/handle/173211/15667.[155] Haitao Wang, Chengdong Li, Dongbin Zhao. Online Synchronous Policy Iteration Based on Concurrent Learning to Solve Continuous-time Optimal Control Problem. PROCEEDINGS OF INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGYnull. 2015, http://ir.ia.ac.cn/handle/173211/11385.[156] 王澄, 刘德荣, 魏庆来, 赵冬斌, 夏振超. 带有储能设备的智能电网电能迭代自适应动态规划最优控制. 自动化学报[J]. 2014, 40(9): 1984-1990, https://d.wanfangdata.com.cn/periodical/zdhxb201409018.[157] Zhongpu Xia, Dongbin Zhao, Huajin Tang. Model-free Adaptive Dynamic Programming for Optimal Control of Discrete-time Affine Nonlinear System. IFAC PROCEEDINGS VOLUMES. 2014, 47(3): 7049-7054, http://dx.doi.org/10.3182/20140824-6-ZA-1003.01368.[158] Alippi, Cesare, Liu, Derong, Zhao, Dongbin, Bu, Li. Detecting and Reacting to Changes in Sensing Units: The Active Classifier Case. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS[J]. 2014, 44(3): 353-362, http://dx.doi.org/10.1109/TSMC.2013.2252895.[159] Li Bu, Dongbin Zhao, Yu Liu, Qiang Guan. A hierarchical classification algorithm for evaluating energy consumption behaviors. INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2014, 1461-1466., http://www.irgrid.ac.cn/handle/1471x/973410.[160] Zhao, Dongbin, Hu, Zhaohui, Xia, Zhongpu, Alippi, Cesare, Zhu, Yuanheng, Wang, Ding. Full-range adaptive cruise control based on supervised adaptive dynamic programming. NEUROCOMPUTING[J]. 2014, 125: 57-67, http://dx.doi.org/10.1016/j.neucom.2012.09.034.[161] Bin Wang, Dongbin Zhao. A Kaiman filter-based actor-critic learning approach. INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2014, 3657-3662, http://ir.ia.ac.cn/handle/173211/5167.[162] Dongbin Zhao. Event-triggered reinforcement learning approach for unknown nonlinear continuous-time system. INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2014, 3677-3784, http://ir.ia.ac.cn/handle/173211/5168.[163] Yuanheng Zhu, Dongbin Zhao, Haibo He. An high-efficient online reinforcement learning algorithm for continuous-state systems. IEEE WORLD CONGRESSON INTELLIGENT CONTROL AND AUTOMATION (WCICA)null. 2014, 581-586., http://www.irgrid.ac.cn/handle/1471x/973405.[164] Yuanheng Zhu, 赵冬斌. Online reinforcement learning for continuous-state systems. FRONTIERS OF INTELLIGENT CONTROL AND INFORMATION PROCESSING. 2014, http://ir.ia.ac.cn/handle/173211/15280.[165] Wang, Bin, Zhao, Dongbin, Alippi, Cesare, Liu, Derong. Dual Heuristic dynamic Programming for nonlinear discrete-time uncertain systems with state delay. NEUROCOMPUTING[J]. 2014, 134: 222-229, http://dx.doi.org/10.1016/j.neucom.2013.06.037.[166] Dongbin Zhao, 夏中谱. Model-free adaptive dynamic programming for optimal control of discrete-time affine nonlinear system. PROCEEDINGS OF INTERNATIONAL FEDERATION OF AUTOMATIC CONTROL 2014null. 2014, http://ir.ia.ac.cn/handle/173211/11460.[167] Zhao Dongbin, Fan Zhijiang, Lv Le. Cheating Behavior Detection based-on Pictorial Structure Model. 2014, http://ir.ia.ac.cn/handle/173211/14473.[168] 王澄, 魏庆来, 赵冬斌, 刘德荣, 夏振超. 基于数据的智能电网电能自适应优化调控. 控制工程[J]. 2014, 21(5): 753-759, https://d.wanfangdata.com.cn/periodical/jczdh201405029.[169] Zhao, Dongbin, Wang, Bin, Liu, Derong. A supervised Actor-Critic approach for adaptive cruise control. SOFT COMPUTING[J]. 2013, 17(11): 2089-2099, https://www.webofscience.com/wos/woscc/full-record/WOS:000325822900011.[170] Qian, Dianwei, Zhao, Dongbin, Yi, Jianqiang, Liu, Xiangjie. Neural sliding-mode load frequency controller design of power systems. NEURAL COMPUTING & APPLICATIONS[J]. 2013, 22(2): 279-286, http://www.irgrid.ac.cn/handle/1471x/972971.[171] 赵冬斌, Yuanheng Zhu. Online Model-Free RLSPI Algorithm for Nonlinear Discrete-Time Non-affine Systems. 2013, http://ir.ia.ac.cn/handle/173211/15281.[172] Alippi, Cesare, Bu, Li, Zhao, Dongbin, IEEE. A Prior-Free Encode-Decode Change Detection Test to Inspect Datastreams for Concept Drift. 2013 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2013, [173] Qian, Dianwei, Yi, Jianqiang, Zhao, Dongbin. How to automatically set an initial angle for balance control of a cart-pole system: an education case. INTERNATIONAL JOURNAL OF ELECTRICAL ENGINEERING EDUCATION[J]. 2013, 50(1): 57-68, https://www.webofscience.com/wos/woscc/full-record/WOS:000327130200005.[174] Ding Wang, Derong Liu, Dongbin Zhao, Yuzhu Huang, Dehua Zhang. A neural-network-based iterative GDHP approach for solving a class of nonlinear optimal control problems with control constraints. NEURAL COMPUTING AND APPLICATIONS,. 2013, 22(2): [175] Zhao, Dongbin, Alippi, Cesare, Liu, Derong, Zhang, Huaguang. Special issue on intelligent control and information processing. SOFT COMPUTINGnull. 2013, 17(11): 1967-1969, https://www.webofscience.com/wos/woscc/full-record/WOS:000325822900001.[176] Zhao, Dongbin, Shen, Yi, Wang, Zhanshan, Hu, Xiaolin. Data-based control, optimization, modeling and applications. NEURAL COMPUTING & APPLICATIONSnull. 2013, 23(7-8): 1839-1842, https://www.webofscience.com/wos/woscc/full-record/WOS:000326889800001.[177] Cesare Alippi, Li Bu, Dongbin Zhao. A prior-free encode-decode change detection test to inspect datastreams for concept drift. INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2013, 926-931, http://www.irgrid.ac.cn/handle/1471x/973406.[178] Wang, Ding, Liu, Derong, Zhao, Dongbin, Huang, Yuzhu, Zhang, Dehua. A neural-network-based iterative GDHP approach for solving a class of nonlinear optimal control problems with control constraints. NEURAL COMPUTING & APPLICATIONS[J]. 2013, 22(2): 219-227, https://www.webofscience.com/wos/woscc/full-record/WOS:000313657600004.[179] Wang, Ding, Liu, Derong, Wei, Qinglai, Zhao, Dongbin, Jin, Ning. Optimal control of unknown nonaffine nonlinear discrete-time systems based on adaptive dynamic programming. AUTOMATICA[J]. 2012, 48(8): 1825-1832, http://dx.doi.org/10.1016/j.automatica.2012.05.049.[180] 王飞跃, 刘德荣, 熊刚, 程长建, 赵冬斌. 复杂系统的平行控制理论及应用. 复杂系统与复杂性科学[J]. 2012, 9(3): 1-12, http://lib.cqvip.com/Qikan/Article/Detail?id=43387808.[181] Yuanheng Zhu, Dongbin Zhao, Haibo He. Integration of fuzzy controller with adaptive dynamic programming. IEEE WORLD CONGRESSON INTELLIGENT CONTROL AND AUTOMATION (WCICA)null. 2012, 310-315, http://www.irgrid.ac.cn/handle/1471x/973407.[182] Dongbin Zhao, 夏中谱. Hybrid feedback control of vehicle longitudinal acceleration. PROCEEDING OF CHINESE CONTROL CONFERENCEnull. 2012, http://ir.ia.ac.cn/handle/173211/11437.[183] Dongbin Zhao. Reinforcement learning control based on multi-goal representation using hierarchical heuristic dynamic programming. INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2012, 1160-1167, http://ir.ia.ac.cn/handle/173211/5173.[184] Zhang, Huaguang, Alippi, Cesare, Zhao, Dongbin. Data-driven optimal algorithms and their applications to pattern recognition. NEUROCOMPUTINGnull. 2012, 78(1): 1-2, http://dx.doi.org/10.1016/j.neucom.2011.08.013.[185] Zhao, Dongbin, Zhang, Zhen, Dai, Yujie. Self-teaching adaptive dynamic programming for Gomoku. NEUROCOMPUTING[J]. 2012, 78(1): 23-29, http://dx.doi.org/10.1016/j.neucom.2011.05.032.[186] 苏永生, 赵冬斌. 基于OGRE的车辆自适应巡航控制三维仿真. 交通运输系统工程与信息[J]. 2012, 12(2): 47-52,90, http://lib.cqvip.com/Qikan/Article/Detail?id=41747301.[187] Dongbin Zhao. Data-driven learning and control with multiple critic networks. IEEE WORLD CONGRESSON INTELLIGENT CONTROL AND AUTOMATION (WCICA)null. 2012, 523-527, http://ir.ia.ac.cn/handle/173211/5172.[188] Zhao Dongbin, Bu Li, Alippi Cesare. SVM-based just-in-time adaptive classifiers. 2012, http://ir.ia.ac.cn/handle/173211/14330.[189] Liu, Derong, Wang, Ding, Zhao, Dongbin, Wei, Qinglai, Jin, Ning. Neural-Network-Based Optimal Control for a Class of Unknown Discrete-Time Nonlinear Systems Using Globalized Dual Heuristic Programming. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING[J]. 2012, 9(3): 628-634, https://www.webofscience.com/wos/woscc/full-record/WOS:000309841800017.[190] Zhao, Dongbin, Dai, Yujie, Zhang, Zhen. Computational Intelligence in Urban Traffic Signal Control: A Survey. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWSnull. 2012, 42(4): 485-494, https://www.webofscience.com/wos/woscc/full-record/WOS:000305584800004.[191] Zhao, Dongbin, Zhu, Yuanheng, He, Haibo. Neural and Fuzzy Dynamic Programming for Under-actuated Systems. INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2012, http://www.irgrid.ac.cn/handle/1471x/973390.[192] Zhaohui Hu, Dongbin Zhao. Adaptive Cruise Control Based on Reinforcement Leaning with Shaping Rewards. JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS[J]. 2011, 15(3): 351-356, [193] Zhao Dongbin, Zhu Fenghua. Neural network based online traffic signal controller design with reinforcement training. IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC)null. 2011, 1045-1050, http://ir.ia.ac.cn/handle/173211/5017.[194] 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[J]. 2011, 23(4): 745-749, http://lib.cqvip.com/Qikan/Article/Detail?id=37228093.[195] Chai, Tianyou, Hou, Zhongsheng, Lewis, Frank L, Hussain, Amir, Zhao, Dongbin. Special Section on Data-Based Control, Modeling, and Optimization. IEEE TRANSACTIONS ON NEURAL NETWORKS. 2011, 22(12): 2150-2153, http://ir.ia.ac.cn/handle/173211/9737.[196] Zhao Dongbin. Supervised adaptive dynamic programming based adaptive cruise control. SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSC) - IEEE SYMPOSIUM ON ADAPTIVE DYNAMIC PROGRAMMING AND REINFORCEMENT LEARNING (ADPRL)null. 2011, 318-323, http://ir.ia.ac.cn/handle/173211/5035.[197] Zhao Dongbin. DHP for coordinated freeway ramp metering. IEEE Transactions on Intelligent Transportation Systems. 2011, [198] Zhao, Dongbin, Bai, Xuerui, Wang, FeiYue, Xu, Jing, Yu, Wensheng. DHP Method for Ramp Metering of Freeway Traffic. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS[J]. 2011, 12(4): 990-999, http://www.irgrid.ac.cn/handle/1471x/972996.[199] Dianwei Qian, Jianqiang Yi, Dongbin Zhao. Control of Overhead Crane Systems by Combining Sliding Mode with Fuzzy Regulator. IFAC PROCEEDINGS VOLUMES. 2011, 44(1): 9320-9325, http://dx.doi.org/10.3182/20110828-6-IT-1002.01716.[200] Wang Ding, Zhao Dongbin. Adaptive dynamic programming for optimal control of unknown nonlinear discrete-time systems. SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSC) - IEEE SYMPOSIUM ON ADAPTIVE DYNAMIC PROGRAMMING AND REINFORCEMENT LEARNING (ADPRL)null. 2011, 242-249, http://ir.ia.ac.cn/handle/173211/4984.[201] Zhao Dongbin. Reinforcement learning for multi-agent patrol policy. IEEE INTERNATIONAL CONFERENCE ON COGNITIVE INFORMATICS (ICCI)null. 2010, 530-535, http://ir.ia.ac.cn/handle/173211/5030.[202] Li Chengdong, Yi Jianqiang, Yu Yi, Zhao Dongbin. Inverse Control of Cable-driven Parallel Mechanism Using Type-2 Fuzzy Neural Network. 自动化学报[J]. 2010, 459-464, http://lib.cqvip.com/Qikan/Article/Detail?id=33164216.[203] Zhao Dongbin. A traffic signal control algorithm for isolated intersections based on adaptive dynamic programming. INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC)null. 2010, 255-260, http://ir.ia.ac.cn/handle/173211/4980.[204] Zhao DongBin, Yi JianQiang. Inverse control of cable-driven parallel mechanism using type-2 fuzzy neural network. ZIDONGHUA XUEBAO/ ACTA AUTOMATICA SINICA[J]. 2010, 36(3): 459-464, http://ir.ia.ac.cn/handle/173211/4133.[205] Zhao Dongbin. Coordinated control of multiple ramps metering based on ADHDP (λ) Controller. International Journal of Innovative Computing, Information and Control. 2009, [206] Xu, Dong, Zhao, Dongbin, Yi, Jianqiang, Tan, Xiangmin. Trajectory Tracking Control of Omnidirectional Wheeled Mobile Manipulators: Robust Neural Network-Based Sliding Mode Approach. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS[J]. 2009, 39(3): 788-799, http://www.irgrid.ac.cn/handle/1471x/973030.[207] Liu, Weirong, Yi, Jianqiang, Zhao, Dongbin. GENETIC ALGORITHM-BASED FUZZY CONTROLLER TO AVOID NETWORK CONGESTION. INTELLIGENT AUTOMATION AND SOFT COMPUTING[J]. 2009, 15(2): 237-248, http://www.irgrid.ac.cn/handle/1471x/973003.[208] Bai, Xuerui, Zhao, Dongbin, Yi, Jianqiang. THE APPLICATION OF ADHDP(lambda) METHOD TO COORDINATED MULTIPLE RAMPS METERING. INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL[J]. 2009, 5(10B): 3471-3481, http://www.irgrid.ac.cn/handle/1471x/973026.[209] Li, Chengdong, Yi, Jianqiang, Zhao, Dongbin. Design of interval type-2 fuzzy logic system using sampled data and priorknowledge. ICIC EXPRESS LETTERS[J]. 2009, 3(3): 695-700, http://www.irgrid.ac.cn/handle/1471x/972962.[210] 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[J]. 2009, 13(6): 891-896, http://lib.cqvip.com/Qikan/Article/Detail?id=32476928.[211] Zhao DongBin, Yi JianQiang. An overview on the adaptive dynamic programming based urban city traffic signal optimal control. ZIDONGHUA XUEBAO/ ACTA AUTOMATICA SINICA[J]. 2009, 35(6): 676-681, http://ir.ia.ac.cn/handle/173211/3823.[212] 徐冬, 赵冬斌, 易建强, 谭湘敏. 全方位移动机械手运动控制Ⅱ——鲁棒控制. 机械工程学报[J]. 2009, 45(1): 42-49, http://lib.cqvip.com/Qikan/Article/Detail?id=29284695.[213] 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[J]. 2009, 676-681, http://lib.cqvip.com/Qikan/Article/Detail?id=30708441.[214] 谭湘敏, 赵冬斌, 易建强, 徐冬. 全方位移动机械手运动控制Ⅰ——建模与控制. 机械工程学报[J]. 2009, 45(1): 35-41, http://lib.cqvip.com/Qikan/Article/Detail?id=29284694.[215] Zhao Dongbin, Tan Xiangmin, Yi Jianqiang. Motion control of omnidirectional mobile manipulators (Part II) - Robust control. JIXIE GONGCHENG XUEBAO/JOURNAL OF MECHANICAL ENGINEERING[J]. 2009, 45(1): 42-49, http://ir.ia.ac.cn/handle/173211/3530.[216] Zhao, Dongbin, Deng, Xuyue, Yi, Jianqiang. Motion and Internal Force Control for Omnidirectional Wheeled Mobile Robots. IEEE-ASME TRANSACTIONS ON MECHATRONICS[J]. 2009, 14(3): 382-387, http://www.irgrid.ac.cn/handle/1471x/973009.[217] Yi Jianqiang, Tan Xiangmin, Zhao Dongbin. Motion control of omnidirectional mobile manipulators (Part I) - Modeling and control. JIXIE GONGCHENG XUEBAO/JOURNAL OF MECHANICAL ENGINEERING[J]. 2009, 45(1): 35-41, http://ir.ia.ac.cn/handle/173211/3529.[218] Li Tao, Zhao Dongbin, Yi Jianqiang, IEEE. Adaptive Dynamic Neuro-fuzzy System for Traffic Signal Control. 2008 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-8null. 2008, 1840-1846, [219] 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[J]. 2008, http://lib.cqvip.com/Qikan/Article/Detail?id=1000600790.[220] Zhang, Nan, Wang, FeiYue, Zhu, Fenghua, Zhao, Dongbin, Tang, Shuming. DynaCAS: Computational Experiments and Decision Support for ITS. IEEE INTELLIGENT SYSTEMS[J]. 2008, 23(6): 19-23, http://dx.doi.org/10.1109/MIS.2008.101.[221] 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:自然科学版[J]. 2008, 22(9): 47-51, http://lib.cqvip.com/Qikan/Article/Detail?id=28377890.[222] Qian, Dianwei, Yi, Jianqiang, Zhao, Dongbin. Hierarchical sliding mode control for a class of SIMO under-actuated systems. CONTROL AND CYBERNETICS[J]. 2008, 37(1): 159-175, http://www.irgrid.ac.cn/handle/1471x/1006044.[223] Zhao Dongbin, Yi Jianqiang, Deng Xuyue, IEEE. Motion regulation of redundantly actuated omni-directional wheeled mobile robots with internal force control. 2007 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-9null. 2007, 3925-3930, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000254073202166.[224] Hong, Yiping, Yi, Jianqiang, Zhao, Dongbin. Improved mean shift segmentation approach for natural images. APPLIED MATHEMATICS AND COMPUTATION[J]. 2007, 185(2): 940-952, http://dx.doi.org/10.1016/j.amc.2006.07.038.[225] Sun, Zhanquan, Xi, Guangcheng, Yi, Jianqiang, Zhao, Dongbin. Select informative symptoms combination for diagnosing syndrome. JOURNAL OF BIOLOGICAL SYSTEMS[J]. 2007, 15(1): 27-37, http://www.irgrid.ac.cn/handle/1471x/1005876.[226] Li Tao, Zhao Dongbin, Yi Jianqiang, Liu D, Fei S, Hou ZG, Zhang HG, Sun CY. Application of ADP to intersection signal control. ADVANCES IN NEURAL NETWORKS - ISNN 2007, PT 1, PROCEEDINGSnull. 2007, 4491: 374-+, [227] 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[J]. 2007, 184-188,194, http://lib.cqvip.com/Qikan/Article/Detail?id=1000022854.[228] 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[J]. 2006, 32(5): 695-703, http://lib.cqvip.com/Qikan/Article/Detail?id=22739716.[229] 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[J]. 2006, 17(14): 1442-1447, http://lib.cqvip.com/Qikan/Article/Detail?id=22336893.[230] 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[J]. 2006, 23(5): 251-254, http://lib.cqvip.com/Qikan/Article/Detail?id=21720653.[231] Zhao, Dongbin, Yi, Jianqiang, Wang, J, Yi, Z, Zurada, JM, Lu, BL, Yin, H. A particle swarm optimized fuzzy neural network control for acrobot. ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 2, PROCEEDINGS[J]. 2006, 3972(?): 1160-1165, http://www.irgrid.ac.cn/handle/1471x/1005784.[232] Zhao, DongBin, Yi, JianQiang, Chen, H, Wang, FY, Yang, CC, Zeng, D, Chau, M, Chang, K. Analysis of infectious disease data based on evolutionary computation. INTELLIGENCE AND SECURITY INFORMATICS, PROCEEDINGS[J]. 2006, 3917: 179-180, http://www.irgrid.ac.cn/handle/1471x/1005763.[233] 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[J]. 2006, 23(1): 53-59, http://lib.cqvip.com/Qikan/Article/Detail?id=21307327.[234] 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[J]. 2006, 18(1): 196-199, http://lib.cqvip.com/Qikan/Article/Detail?id=21071848.[235] Deng, Xuyue, Zhao, Dongbin, Yi, Jianqiang, Wen, John T, IEEE. Motion and squeeze force control for omnidirectional wheeled mobile robots. 2006 AMERICAN CONTROL CONFERENCE, VOLS 1-12null. 2006, 1-12: COVER4-COVER5, [236] Zhao, Dongbin, Yi, Jianqiang, Jiao, L, Wang, L, Gao, X, Liu, J, Wu, F. Robot planning with artificial potential field guided ant colony optimization algorithm. ADVANCES IN NATURAL COMPUTATION, PT 2[J]. 2006, 4222: 222-231, http://ir.ia.ac.cn/handle/173211/9227.[237] 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[J]. 2006, 19(5): 658-662, https://d.wanfangdata.com.cn/periodical/mssbyrgzn200605017.[238] 李新征, 易建强, 赵冬斌. 基于视觉的机器人定位精度提高方法. 计算机测量与控制[J]. 2005, 13(6): 545-547, http://lib.cqvip.com/Qikan/Article/Detail?id=15891384.[239] 钟志光, 易建强, 赵冬斌, 洪义平, 李新征. 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[J]. 2005, 18(4): 424-428, http://lib.cqvip.com/Qikan/Article/Detail?id=20045319.[240] 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[J]. 2005, 27(1): 31-34,40, http://lib.cqvip.com/Qikan/Article/Detail?id=11392100.[241] 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[J]. 2005, 22(3): 417-422, http://lib.cqvip.com/Qikan/Article/Detail?id=15893765.[242] 李新春, 赵冬斌, 易建强, 宋佐时. 一种移动机械手分级协调路径规划方法. 制造业自动化[J]. 2005, 27(5): 28-32, http://lib.cqvip.com/Qikan/Article/Detail?id=15702372.[243] 易建强, 赵冬斌, 张耀华, 洪义平. 实时卡片字符识别与校验系统的设计与实现. 计算机工程与应用[J]. 2005, 41(17): 113-115, http://lib.cqvip.com/Qikan/Article/Detail?id=15759864.[244] 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[J]. 2005, 20(8): 947-950, http://lib.cqvip.com/Qikan/Article/Detail?id=18080586.[245] 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[J]. 2005, 27(2): 137-141, http://lib.cqvip.com/Qikan/Article/Detail?id=15237907.[246] 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[J]. 2005, 9(2): 139-144, http://lib.cqvip.com/Qikan/Article/Detail?id=15171263.[247] 张文增, 赵冬斌, 陈强, 都东. 基于模型的人体运动参数检测. 生物医学工程学杂志[J]. 2005, 22(1): 147-150, http://lib.cqvip.com/Qikan/Article/Detail?id=20330430.[248] 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. 中国科学院研究生院学报[J]. 2005, 22(5): 631-638, http://lib.cqvip.com/Qikan/Article/Detail?id=20175987.[249] 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[J]. 2005, 17(8): 1933-1935, http://lib.cqvip.com/Qikan/Article/Detail?id=18004742.[250] 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[J]. 2005, 17(5): 1258-1260, http://lib.cqvip.com/Qikan/Article/Detail?id=15645163.[251] Zhong Zhiguang, Yi Jianqiang, Zhao Dongbin. A Robust Two Feature Points Based Depth Estimation Method. ACTA AUTOMATICA SINICA[J]. 2005, 31(5): 693-698, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=2085065&detailType=1.[252] Hong Yiping, Yi Jianqiang, Zhao Dongbin. 门牌识别系统中的鲁棒性分割方法. 自动化学报[J]. 2005, 31(3): 359-364, http://lib.cqvip.com/Qikan/Article/Detail?id=15964393.[253] 钟志光, 易建强, 赵冬斌. 一种鲁棒的基于两个特征点的深度估计方法. 自动化学报[J]. 2005, 31(5): 693-698, http://lib.cqvip.com/Qikan/Article/Detail?id=20220950.[254] 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[J]. 2005, 9(6): 603-606, http://lib.cqvip.com/Qikan/Article/Detail?id=20632490.[255] 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[J]. 2005, 34(2): 232-235, http://lib.cqvip.com/Qikan/Article/Detail?id=15407684.[256] 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自适应滑模控制. 电机与控制学报[J]. 2005, 9(5): 481-485,490, http://lib.cqvip.com/Qikan/Article/Detail?id=20217003.[257] 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[J]. 2005, 9(6): 570-574, http://lib.cqvip.com/Qikan/Article/Detail?id=20632482.[258] 李新春, 赵冬斌, 易建强, 宋佐时. 移动机械手结构设计. 可编程控制器与工厂自动化(PLC FA)[J]. 2004, 103-106, http://lib.cqvip.com/Qikan/Article/Detail?id=11498378.[259] 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[J]. 2004, 30(5): 784-788, http://lib.cqvip.com/Qikan/Article/Detail?id=10878442.[260] 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[J]. 2004, 26(2): 187-192, http://lib.cqvip.com/Qikan/Article/Detail?id=9211465.[261] 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[J]. 2004, 26(4): 325-329, http://lib.cqvip.com/Qikan/Article/Detail?id=10340405.[262] 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[J]. 2004, 11(6): 529-532, http://lib.cqvip.com/Qikan/Article/Detail?id=11084214.[263] 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[J]. 2004, 16(7): 1433-1436, http://lib.cqvip.com/Qikan/Article/Detail?id=10343658.[264] 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[J]. 2004, 26(1): 49-53, http://lib.cqvip.com/Qikan/Article/Detail?id=8797014.[265] 易建强, 郑耀林, 赵冬斌, 王伟. DC—DC变换器的模糊神经网络控制方法研究. 系统仿真学报[J]. 2004, 16(11): 2567-2570,2574, http://lib.cqvip.com/Qikan/Article/Detail?id=10886005.[266] 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[J]. 2004, 19(10): 1175-1177,1182, http://lib.cqvip.com/Qikan/Article/Detail?id=10659975.[267] 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[J]. 2004, 19(9): 1013-1016,1021, http://lib.cqvip.com/Qikan/Article/Detail?id=10476198.[268] 张文增, 陈强, 孙振国, 赵冬斌. 具有形状自适应的欠驱动拟人机器人手指. 机械工程学报[J]. 2004, 40(10): 115-118, http://lib.cqvip.com/Qikan/Article/Detail?id=10852131.[269] 李佳宁, 易建强, 赵冬斌, 邓旭玥, 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[J]. 2004, 26(3): 272-276, http://lib.cqvip.com/Qikan/Article/Detail?id=9871639.[270] 邓旭玥, 王伟, 易建强, 赵冬斌. 移动机器人导航研究现状及其发展趋势展望. 可编程控制器与工厂自动化(PLC FA)[J]. 2004, 4-8, http://lib.cqvip.com/Qikan/Article/Detail?id=11498326.[271] 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[J]. 2004, 17(3): 337-341, http://lib.cqvip.com/Qikan/Article/Detail?id=10656789.[272] 曹一鹏, 张文增, 赵冬斌. 拟人机器人上肢运动检测系统的研制. 传感器技术[J]. 2003, 22(6): 14-16, http://lib.cqvip.com/Qikan/Article/Detail?id=8005642.[273] 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[J]. 2003, 25(5): 394-398, http://lib.cqvip.com/Qikan/Article/Detail?id=8293612.[274] 陈善本, 赵冬斌, 娄亚军, 吴林. 脉冲GTAW焊缝成形智能控制方法. 自动化学报[J]. 2003, 29(1): 130-134, http://lib.cqvip.com/Qikan/Article/Detail?id=7315471.[275] 张文增, 陈强, 孙振国, 徐济民, 赵冬斌. 变抓取力的欠驱动拟人机器人手. 清华大学学报:自然科学版[J]. 2003, 43(8): 1143-1147, http://lib.cqvip.com/Qikan/Article/Detail?id=8288527.[276] 宋佐时, 易建强, 赵冬斌. 移动机械手控制研究进展. 机器人[J]. 2003, 25(5): 465-469,480, http://lib.cqvip.com/Qikan/Article/Detail?id=8293652.[277] 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[J]. 2002, 24(6): 502-507, http://lib.cqvip.com/Qikan/Article/Detail?id=11420678.[278] Yi Lu, Yaran Chen, Dongbin Zhao, Dong Li. GMRL: Graph neural network based inference in a Markov network with Reinforcement Learning for visual navigation. NEUROCOMPUTING. http://dx.doi.org/10.1016/j.neucom.2020.07.091.