基本信息
赵延龙  男  博导  中国科学院数学与系统科学研究院
电子邮件: ylzhao@amss.ac.cn
通信地址: 中关村东路55号
邮政编码:

研究领域

1. 集值非线性系统辨识与适应控制

2. 金融系统建模

3. 通信网络

4. 系统生物学

招生信息

招生专业
071101-系统理论
070105-运筹学与控制论
081001-通信与信息系统
招生方向
通信与信息系统
集值系统辨识与自适应控制
金融系统建模

教育背景

2002-09--2007-07   中国科学院数学与系统科学研究院   博士
1998-09--2002-07   山东大学数学与系统科学学院   本科

工作经历

   
工作简历
2017-03~现在, 中国科学院数学与系统科学研究院, 研究员
2012-02~2017-03,中国科学院数学与系统科学研究院, 副研究员
2011-09~2011-12,瑞典林雪平大学, 访问学者
2008-12~2009-09,新加坡南洋理工大学, 博士后
2007-09~2008-08,美国韦恩州立大学, 博士后
2007-07~2012-02,中国科学院数学与系统科学研究院, 助理研究员
社会兼职
2022-11-25-今,中国系统工程学会, 常务理事
2022-01-01-今,SIAM Journal on Control and Optimization, 编委
2020-09-01-今,亚洲控制协会, 指导委员会委员
2019-11-01-今,Journal of Systems Science and Complexity, 副主编
2018-03-27-2020-08-31,亚洲控制协会, 副主席
2018-02-05-今,IEEE Transactions on Systems, Man, and Cybernetics: Systems, 编委
2018-01-10-今,中国自动化学会控制理论专业委员会, 副主任
2017-12-01-今,Automatica, 编委
2014-05-31-2019-10-31,系统科学与复杂性, 编委
2013-12-03-今,中国自动化学会, 副秘书长
2013-01-07-2018-01-08,中国自动化学会控制理论专业委员会, 秘书长
2013-01-01-今,IEEE CSS Beijing Chapter, 副主席
2012-03-31-2020-08-31,亚洲控制杂志, 编委

教授课程

系统优化理论

专利与奖励

   
奖励信息
(1) 华为“难题揭榜”火花奖, 其他, 2023
(2) 关肇直首席研究员, , 研究所(学校), 2023
(3) 中国自动化学会自然科学奖, 一等奖, 部委级, 2021
(4) 国家自然科学基金委杰出青年基金, 国家级, 2020
(5) 中国系统工程学会青年科技奖, 其他, 2018
(6) 国家自然科学基金委优秀青年基金, 国家级, 2016
(7) 国家自然科学奖, 二等奖, 国家级, 2015
(8) 中国工业与应用数学学会首届优秀青年学者奖, , 其他, 2012
(9) 瑞士科技部应用数学欧拉奖, 其他, 2007
(10) 中国科学院院长特别奖, , 部委级, 2007
专利成果
[1] 王继民, 张纪峰, 赵延龙, 郭金. 基于深度强化学习的多智能体移动充电调度方法及装置. CN: CN116702635A, 2023-09-05.
[2] 王继民, 张纪峰, 赵延龙, 郭金. 一种基于差分隐私的社交网络直方图发布方法及装置. CN: CN116628360A, 2023-08-22.
[3] 张纪峰, 王继民, 赵延龙, 郭金. 基于秘密共享机制的分布式支持向量机训练方法及系统. CN: CN116595589A, 2023-08-15.
[4] 于鹏, 张纪峰, 谈树萍, 郭金, 赵延龙. 一种最优的匀速-减速式绳系卫星系统分离方法. CN: CN116039970A, 2023-05-02.
[5] 张纪峰, 王颖, 李婧, 康宇, 赵延龙, 吕文君. 一种基于多阈值量化输出观测的渐近最优岩性预测方法. CN: CN115204277A, 2022-10-18.
[6] 张纪峰, 郭健, 赵延龙, 薛文超. 一种基于稀疏闭环辨识的航空发动机燃油系统建模方法. CN: CN115062751A, 2022-09-16.
[7] 赵延龙, 张晓燕, 张纪峰, 薛文超, 王颖. 一种基于二值氧传感器的空燃比控制系统的量化滤波方法. CN: CN115045770A, 2022-09-13.
[8] 张纪峰, 赵延龙, 张言军, 张瑜, 牛奔. 一种单连杆机械手臂的预定义时间稳定控制方法及系统. CN: CN115016273A, 2022-09-06.
[9] 张纪峰, 张言军, 赵延龙, 韩丽敏, 牛奔. 一种柔性单链机械臂多智能体的跟踪控制方法和系统. CN: CN115008456A, 2022-09-06.
[10] 张纪峰, 刘梅, 康宇, 赵延龙, 吕文君. 面向分数阶模型的负虚系统判别方法、系统及存储介质. CN: CN114995153A, 2022-09-02.
[11] 张纪峰, 张坤, 康宇, 赵延龙, 吕文君. 车辆自主驾驶的弹性事件触发控制方法及系统. CN: CN112685835B, 2022-08-19.
[12] 张纪峰, 毕文健, 马雨茁, 赵延龙. 适用复杂性状的基因-环境交互的分析方法及存储介质. CN: CN114898809A, 2022-08-12.
[13] 张纪峰, 王继民, 康宇, 赵延龙, 吕文君. 面向隐私保护的分布式估计方法、系统与可读存储介质. CN: CN112214733B, 2022-06-21.
[14] 张纪峰, 张言军, 孙健, 赵延龙. 无人直升机偏航通道动力学的自适应跟踪控制方法及系统. CN: CN114527660A, 2022-05-24.
[15] 张榆川, 李鑫, 宋康, 赵延龙, 谢辉, 张纪峰, 陈韬. 一种基于二阶线性微分跟踪器和参数双线性模型的车重估计算法. CN: CN114357624A, 2022-04-15.
[16] 张纪峰, 张坤, 康宇, 赵延龙, 吕文君. 基于隐私信息加密学习的多智能体图博弈纳什均衡方法. CN: CN114282703A, 2022-04-05.
[17] 张纪峰, 张言军, 康宇, 赵延龙, 吕文君. 非标准型离散时间非线性系统的自适应控制方法及系统. CN: CN112506045B, 2022-04-01.
[18] 张纪峰, 张言军, 康宇, 赵延龙, 吕文君. 一种非标准型MIMO离散非线性系统的自适应控制方法及系统. CN: CN112147896B, 2021-09-03.
[19] 张纪峰, 王继民, 康宇, 赵延龙, 吕文君. 一种面向博弈控制的隐私保护方法、系统及可读存储介质. CN: CN113158238A, 2021-07-23.
[20] 张纪峰, 张坤, 康宇, 赵延龙, 吕文君. 车辆自主驾驶的弹性事件触发控制方法及系统. CN: CN112685835A, 2021-04-20.
[21] 张纪峰, 张言军, 康宇, 赵延龙, 吕文君. 非标准型离散时间非线性系统的自适应控制方法及系统. CN: CN112506045A, 2021-03-16.
[22] 张纪峰, 王继民, 康宇, 赵延龙, 吕文君. 面向隐私保护的分布式估计方法、系统与可读存储介质. CN: CN112214733A, 2021-01-12.

出版信息

发表论文
[1] Kong, Chuiliu, Wang, Ying, Zhao, Yanlong. Consensus of multi-agent systems under binary-valued observations and uncertainty with unbounded variance. System and Control Letters[J]. 2023, https://doi.org/10.1016/j.sysconle.2023.105656.
[2] Kong, Chuiliu, Wang, Ying, Zhao, Yanlong. Adaptive tracking control under quantized observations and observation uncertainty with unbounded variance. Asian Journal of Control[J]. 2023, https://onlinelibrary.wiley.com/doi/10.1002/asjc.3244.
[3] Wang, Ting, Li, Xin, Guo, Jin, Zhao, Yanlong. Identification of ARMA models with binary-valued observations. Automatica[J]. 2023, 149: http://dx.doi.org/10.1016/j.automatica.2022.110832.
[4] Wang, Ying, Li, Xin, Zhao, Yanlong, Zhang, Jifeng. Threshold selection and resource allocation for quantized identification. Journal of Systems Science and Complexity[J]. 2023, 
[5] Zhao, Yanlong, Zhang, Hang, Wang, Ting, Kang, Guolian. System identification under saturated precise or set-valued measurements. Science China Information Sciences[J]. 2023, 66(1): 220-239, https://doi.org/10.1007/s11432-021-3505-5.
[6] Jin Guo, Ruizhe Jia, Ruinan Su, Yanlong Zhao, Yong Song. Identification of FIR systems with binary-valued observations against denial-of-service attacks. Applied Mathematics and Computation[J]. 2023, 450: http://dx.doi.org/10.1016/j.amc.2023.127989.
[7] Guo, Jin, Jia, Ruizhe, Su, Ruinan, Zhao, Yanlong. Identification of FIR Systems With Binary-Valued Observations Against Data Tampering Attacks. IEEE Transactions on Systems, Man, and Cybernetics: Systems[J]. 2023, 53(9): 5861-5873, https://ieeexplore.ieee.org/abstract/document/10136188/.
[8] He, Xingkang, Yi, Xinlei, Zhao, Yanlong, Karl Henrik Johansson, Vijay Gupta. Asymptotic analysis of federated learning under event-triggered communication. IEEE Transactions on Signal Processing[J]. 2023, 71: 2654-2667, https://ieeexplore.ieee.org/abstract/document/10186272.
[9] Zhang, Xiaoyan, Xue, Wenchao, Zhao, Yanlong. On observability analysis and observer design for a class of nonlinear uncertain systems with general elastic vibration dynamics. Asian Journal of Control[J]. 2022, 24(4): 2013-2024, http://dx.doi.org/10.1002/asjc.2562.
[10] Jin Guo, Xuebin Wang, Yanling Zhang, Wenchao Xue, Yanlong Zhao. System identification with binary-valued observations under both denial-of-service attacks and data tampering attacks:defense scheme and its optimality. Control Theory and Technology[J]. 2022, 20(1): 114-126, http://lib.cqvip.com/Qikan/Article/Detail?id=7106712538.
[11] Hu, Min, Wang, Ting, Zhao, Yanlong. Consensus of switched multi-agent systems with binary-valued communications. Science China Information Sciences[J]. 2022, 65(6): 14-198, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=7278979&detailType=1.
[12] Guo, Jian, Zhao, Yanlong, Zhang, Jifeng. Sparse identification for stochastic systems with binary-valued observations. 41st Chinese Control Conference (CCC). 2022, https://ieeexplore.ieee.org/abstract/document/9901925.
[13] Shi, Ruoshi, Guo, Jian, Zhao, Yanlong. Empirical Analysis on Market-Making Hedging Problem based on Quadratic Programming with Time-Decay and Sparse-Term. 41st Chinese Control Conference (CCC). 2022, https://ieeexplore.ieee.org/abstract/document/9901925.
[14] Shi, Ruoshi, Zhao, Yanlong, Bao, Ying, Peng, Cheng. Sensitivity-based Conditional Value at Risk (SCVaR): An efficient measurement of credit exposure for options. The North American Journal of Economics and Finance[J]. 2022, 62: 19, http://dx.doi.org/10.1016/j.najef.2022.101781.
[15] Li, Shuang, Peng, Cheng, Bao, Ying, Zhao, Yanlong, Cao, Zhen. Analytical Expressions to Counterparty Credit Risk Exposures for Interest Rate Derivatives. Acta Mathematicae Applicatae Sinica[J]. 2022, 38(2): 254-270, https://link.springer.com/article/10.1007/s10255-022-1074-8.
[16] Wang, Ying, Zhao, Yanlong, Zhang, Ji-Feng, Guo, Jin. A unified identification algorithm of FIR systems based on binary observations with time-varying thresholds. Automatica[J]. 2022, 135: http://dx.doi.org/10.1016/j.automatica.2021.109990.
[17] Jin Guo, Xuebin Wang, Yanling Zhang, Wenchao Xue, Yanlong Zhao. System identification with binary-valued observations under both denial-of-service attacks and data tampering attacks:the optimality of attack strategy. Control Theory and Technology[J]. 2022, 20(1): 127-138, http://lib.cqvip.com/Qikan/Article/Detail?id=7106712539.
[18] Zhang, Lantian, Zhao, Yanlong, Guo, Lei. Identification and adaptation with binary-valued observations under non-persistent excitation condition. Automatica[J]. 2022, 138: http://dx.doi.org/10.1016/j.automatica.2022.110158.
[19] Guo, Jin, Zhao, Yanlong. Identification for Wiener-Hammerstein systems under quantized inputs and quantized output observations. Asian Journal of Control[J]. 2021, 23(1): 118-127, http://dx.doi.org/10.1002/asjc.2237.
[20] Peng, Cheng, Li, Shuang, Zhao, Yanlong, Bao, Ying. Sample average approximation of CVaR-based hedging problem with a deep-learning solution. The North American Journal of Economics and Finance[J]. 2021, 56: http://dx.doi.org/10.1016/j.najef.2020.101325.
[21] Wang Ying, Zhao Yanlong, Zhang JiFeng. Distributed Recursive Projection Identification with Binary-Valued Observations. Journal of Systems Science and Complexity[J]. 2021, 34(5): 2048-2068, http://dx.doi.org/10.1007/s11424-021-1267-x.
[22] Wang, Ting, Hu, Min, Zhao, Yanlong. Adaptive Tracking Control of FIR Systems Under Binary-Valued Observations and Recursive Projection Identification. IEEE Transactions on Systems, Man, and Cybernetics: Systems[J]. 2021, 51(9): 5289-5299, https://ieeexplore.ieee.org/document/8897007.
[23] Zhang, Hang, Wang, Ting, Zhao, Yanlong. Asymptotically Efficient Recursive Identification of FIR Systems With Binary-Valued Observations. IEEE Transactions on Systems, Man, and Cybernetics: Systems[J]. 2021, 51(5): 2687-2700, https://www.webofscience.com/wos/woscc/full-record/WOS:000640749000005.
[24] Guo, Jin, Wang, Xuebin, Xue, Wenchao, Zhao, Yanlong. System Identification With Binary-Valued Observations Under Data Tampering Attacks. IEEE Transactions on Automatic Control[J]. 2021, 66(8): 3825-3832, https://ieeexplore.ieee.org/document/9216546.
[25] Song, Xiaojing, Xue, Wenchao, Zhao, Yanlong. Control design for maximal capability of disturbance rejection under general control input saturation. Journal of The Franklin Institute[J]. 2021, 358(18): 9771-9793, http://dx.doi.org/10.1016/j.jfranklin.2021.10.026.
[26] Tan, Shuping, Guo, Jin, Zhao, Yanlong, Zhang, Jifeng. Adaptive control with saturation-constrainted observations for drag-free satellites - a set-valued identification approach. Science China Information Sciences[J]. 2021, 64(10): 178-189, https://link.springer.com/article/10.1007/s11432-020-3145-0.
[27] Wang, Ximei, Hu, Min, Zhao, Yanlong, Djehiche, Boualem. Credit Scoring Based on the Set-Valued Identification Method. Journal of Systems Science and Complexity[J]. 2020, 33(5): 1297-1309, http://lib.cqvip.com/Qikan/Article/Detail?id=7103514844.
[28] Li, Shuang, Peng, Cheng, Bao, Ying, Zhao, Yanlong. Explicit expressions to counterparty credit exposures for Forward and European Option. The North American Journal of Economics and Finance[J]. 2020, 52: http://dx.doi.org/10.1016/j.najef.2019.101130.
[29] Zhang, Hang, Bi, Wenjian, Cui, Yuehua, Chen, Honglei, Chen, Jinbo, Zhao, Yanlong, Kang, Guolian. Extreme-value sampling design is cost-beneficial only with a valid statistical approach for exposure-secondary outcome association analyses. Statistical methods in medical research[J]. 2020, 29(2): 466-480, https://www.webofscience.com/wos/woscc/full-record/WOS:000513264200010.
[30] Wang, Ting, Zhang, Hang, Zhao, Yanlong. Consensus of Multi-Agent Systems Under Binary-Valued Measurements and Recursive Projection Algorithm. IEEE Transactions on Automatic Control[J]. 2020, 65(6): 2678-2685, https://www.webofscience.com/wos/woscc/full-record/WOS:000542947800030.
[31] Zhao, Yanlong, Xue, Wenchao, Guo, Jin, Cheng, Jing. Asymptotic efficiency and probabilistic error bound for maximum likelihood-based identification of finite impulse response systems with binary-valued observations and unreliable communication. International Journal of Adaptive Control and Signal Processing[J]. 2020, 34: 1483-1500, https://onlinelibrary.wiley.com/doi/full/10.1002/acs.3164.
[32] Wang, Ting, Hu, Min, Zhao, Yanlong. Consensus of linear multi-agent systems with stochastic noises and binary-valued communications. International Journal of Robust and Nonlinear Control[J]. 2020, 30(13): 4863-4879, https://www.webofscience.com/wos/woscc/full-record/WOS:000544647000001.
[33] 杨飞, 谈树萍, 薛文超, 郭金, 赵延龙. 饱和约束测量扩张状态滤波与无拖曳卫星位姿自抗扰控制. 自动化学报[J]. 2020, 46(11): 2337-2349, http://lib.cqvip.com/Qikan/Article/Detail?id=7103502217.
[34] Wang, Ting, Zhang, Hang, Zhao, Yanlong. Parameter Estimation Based on Set-valued Signals: Theory and Application. Acta Mathematicae Applicatae Sinica[J]. 2019, 35(2): 255-263, http://lib.cqvip.com/Qikan/Article/Detail?id=7001776824.
[35] Hang ZHANG, Ting WANG, Yanlong ZHAO. FIR system identification with set-valued and precise observations from multiple sensors. Science China Information Sciences[J]. 2019, 62(5): 16-194, https://www.sciengine.com/doi/10.1007/s11432-018-9604-0.
[36] 彭程, 李爽, 包莹, 赵延龙. 外汇欧式期权在市场不完备下的对冲误差分析. 系统工程理论与实践[J]. 2019, 39(11): 2739-2749, http://lib.cqvip.com/Qikan/Article/Detail?id=7100530611.
[37] Wang, Ximei, Zhao, Yanlong, Hu, Xiaoming, Djehiche, Boualem. Multi-agent Consensus by Binary-valued Communications of Relative State. 38th Chinese Control Conference (CCC). 2019, 1672-1677, https://ieeexplore.ieee.org/abstract/document/8865523.
[38] Wang, Ting, Zhang, Hang, Zhao, Yanlong. Parameter estimation based on set-valued signals: Theory and Application. Acta Mathematicae Applicatae Sinica[J]. 2019, 35(2): 255, http://lib.cqvip.com/Qikan/Article/Detail?id=7001776824.
[39] Zhao, Yanlong, Wang, Ting, Bi, Wenjian. Consensus Protocol for Multiagent Systems With Undirected Topologies and Binary-Valued Communications. IEEE Transactions on Automatic Control[J]. 2019, 64(1): 206-221, http://ir.amss.ac.cn/handle/2S8OKBNM/32123.
[40] 李爽, 包莹, 彭程, 赵延龙. 基于择券和择时的国债期货定价. 系统科学与数学[J]. 2019, 39(3): 341, http://lib.cqvip.com/Qikan/Article/Detail?id=7002268410.
[41] Wang, Ximei, Zhao, Yanlong, Bao, Ying. Arbitrage-free conditions for implied volatility surface by Delta. The North American Journal of Economics and Finance[J]. 2019, 48: 819-834, https://www.sciencedirect.com/science/article/pii/S1062940818301074.
[42] Wang, Ting, Hu, Min, Zhao, Yanlong. Consensus control with a constant gain for discrete-time binary-valued multi-agent systems based on a projected empirical measure method. IEEE/CAA Journal of Automatica Sinica[J]. 2019, 6(4): 1052-1059, https://ieeexplore.ieee.org/document/8753760.
[43] Wang, Ximei, Wang, Ting, Xu, Changbao, Zhao, Yanlong. Average Consensus for Multi-Agent System with Measurement Noise and Binary-Valued Communication. Asian Journal of Control[J]. 2019, 21(3): 1043-1056, https://link.springer.com/article/10.1007/s10255-022-1074-8.
[44] 王西梅, 赵延龙, 史若诗, 包莹. 基于局部波动率模型的上证50ETF期权定价研究. 系统工程理论与实践[J]. 2019, 39(10): 2487-2501, http://lib.cqvip.com/Qikan/Article/Detail?id=7100450347.
[45] 胡敏, 王婷, 薛文超, 赵延龙. 基于二值递推投影算法的切换多个体系统同步. 第38届中国控制会议. 2019, https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=IPFD&filename=KZLL201907008050.
[46] Wang Ximei, He Xingkang, Bao Ying, Zhao Yanlong. Parameter estimates of Heston stochastic volatility model with MLE and consistent EKF algorithm. Science China Information Sciences[J]. 2018, 61(4): 17-144, http://lib.cqvip.com/Qikan/Article/Detail?id=675013645.
[47] Wang, Ting, Zhang, Hang, Zhao, Yanlong. Average Consensus of Multi-Agent Systems Under Directed Topologies and Binary-Valued Communications. IEEE Access[J]. 2018, 6: 55995-56006, http://ir.amss.ac.cn/handle/2S8OKBNM/31652.
[48] Wang Ting, Hu Min, Zhao Yanlong. Convergence Properties of Recursive Projection Algorithm for System Identification with Binary-Valued Observations. Chinese Automation Congress (CAC)[J]. 2018, 2961-2966, https://ieeexplore.ieee.org/abstract/document/8623153.
[49] XU Changbao, ZHAO Yanlong, ZHANG JiFeng. Information Security Protocol Based System Identification with Binary-Valued Observations. Journal of Systems Science and Complexity[J]. 2018, 31(4): 946-963, http://lib.cqvip.com/Qikan/Article/Detail?id=675001503.
[50] Wang, Ting, Tan, Jianwei, Zhao, Yanlong. Asymptotically efficient non-truncated identification for FIR systems with binary-valued outputs. Science China Information Sciences[J]. 2018, 61(12): http://lib.cqvip.com/Qikan/Article/Detail?id=6100051669.
[51] Guo, Jin, Wang, Le Yi, Yin, George, Zhao, Yanlong, Zhang, JiFeng. Identification of Wiener systems with quantized inputs and binary-valued output observations. Automatica[J]. 2017, 78: 280-286, http://dx.doi.org/10.1016/j.automatica.2016.12.034.
[52] Wang Ximei, He Xingkang, Zhao Yanlong, Zuo Zhiqiang. Parameter Estimations of Heston Model Based on Consistent Extended Kalman Filter. IFAC-PapersOnLine[J]. 2017, 50(1): 14100-14105, http://dx.doi.org/10.1016/j.ifacol.2017.08.1850.
[53] Zhang, Hang, Wang, Ting, Zhao, Yanlong. System Identification with Mixed Binary-valued and Precise Measurements. 17th International Conference on Control, Automation and Systems (ICCAS). 2017, 176-181, https://ieeexplore.ieee.org/abstract/document/8204437.
[54] Kang, Guolian, Bi, Wenjian, Zhang, Hang, Pounds, Stanley, Cheng, Cheng, Shete, Sanjay, Zou, Fei, Zhao, Yanlong, Zhang, JiFeng, Yue, Weihua. A Robust and Powerful Set-Valued Approach to Rare Variant Association Analyses of Secondary Traits in Case-Control Sequencing Studies. Genetics[J]. 2017, 205(3): 1049-1062, https://academic.oup.com/genetics/article/205/3/1049/6066390.
[55] Wang, Ting, Zhao, Yanlong. Identification, control and application of set-valued systems. Nanjing Xinxi Gongcheng Daxue Xuebao[J]. 2017, 9(3): 319, https://www.proquest.com/docview/1907801688?pq-origsite=gscholar&fromopenview=true.
[56] Wang Ximei, Zhang Hang, Zhao Yanlong. Parameters Estimations for Continuous-Time Stochastic Volatility Models. 36th Chinese Control Conference (CCC). 2017, 2315-2320, https://ieeexplore.ieee.org/abstract/document/8027703/.
[57] Xu Changbao, Zhao Yanlong, Zhang Jifeng. Decision-implementation complexity of cooperative game systems. Science China Information Sciences[J]. 2017, 60(11): 112201-193, http://lib.cqvip.com/Qikan/Article/Detail?id=673606481.
[58] Yanlong Zhao, Long Cheng, Hang Zhang, Wenjian Bi. Set-valued system identification methods in retrospective cohort study and applications to GWAS. IFAC-PapersOnLine[J]. 2017, 50(1): 1583-1588, http://dx.doi.org/10.1016/j.ifacol.2017.08.313.
[59] Xu, Changbao, Zhao, Yanlong, Zhang, JiFeng. Decision-implementation complexity of cooperative game systems. Science China Information Sciences[J]. 2017, 60(11): 176-193, http://lib.cqvip.com/Qikan/Article/Detail?id=673606481.
[60] Zhang Hang, Bi Wenjian, Zhao Yanlong, Cheng Long. Set-Valued System Identification Methods in Retrospective Cohort Study and Applications to GWAS. IFAC PAPERSONLINE. 2017, 50(1): 1583-1588, http://dx.doi.org/10.1016/j.ifacol.2017.08.313.
[61] Xu Changbao, Zhao Yanlong, Zhang JiFeng, Qi Hongsheng. System Identification under Information Security. IFAC-PapersOnLine[J]. 2017, 50(1): 3756-3761, http://dx.doi.org/10.1016/j.ifacol.2017.08.477.
[62] 何雁羽, 郭金, 赵延龙. 多量化观测下的系统辨识与信息融合. 第35届中国控制会议. 2016, https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=IPFD&filename=KZLL201607002109.
[63] Zhao, Yanlong, Bi, Wenjian, Wang, Ting. Iterative parameter estimate with batched binary-valued observations. Science China Information Sciences[J]. 2016, 59(5): http://scis.scichina.com/en/2016/052201.pdf.
[64] 许长豹, 赵延龙. 基于信息安全的系统辨识. 第35届中国控制会议. 2016, https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=IPFD&filename=KZLL201607002111.
[65] 王乐一, 赵延龙, 王婷. 鲁棒控制与系统辨识的复杂度及其关联的综述和探讨. 中国科学数学[J]. 2016, 46(10): 1533, http://ir.amss.ac.cn/handle/2S8OKBNM/37626, http://www.irgrid.ac.cn/handle/1471x/6869973, http://ir.amss.ac.cn/handle/2S8OKBNM/37627.
[66] Wang, Ting, Zhao, Yanlong, Wang, Ximei. An identification algorithm without truncation for binary-valued output systems. 12th World Congress on Intelligent Control and Automation (WCICA). 2016, https://ieeexplore.ieee.org/abstract/document/7578713.
[67] Wang Ting, Bi Wenjian, Zhao Yanlong, Xue Wenchao. Radar Target Recognition Algorithm Based on RCS Observation Sequence - Set-Valued Identification Method. Journal of Systems Science and Complexity[J]. 2016, 29(3): 573-588, http://ir.amss.ac.cn/handle/2S8OKBNM/39640, http://www.irgrid.ac.cn/handle/1471x/6870117, http://ir.amss.ac.cn/handle/2S8OKBNM/39641.
[68] 王西梅, 张杭, 赵延龙. 外汇风险因子敞口的动态判断模型. 第35届中国控制会议. 2016, https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=IPFD&filename=KZLL201607002112.
[69] Bi, Wenjian, Kang, Guolian, Zhao, Yanlong, Cui, Yuehua, Yan, Song, Li, Yun, Cheng, Cheng, Pounds, Stanley B, Borowitz, Michael J, Relling, Mary V, Yang, Jun J, Liu, Zhifa, Pui, ChingHon, Hunger, Stephen P, Hartford, Christine M, Leung, Wing, Zhang, JiFeng. SVSI: Fast and Powerful Set-Valued System Identification Approach to Identifying Rare Variants in Sequencing Studies for Ordered Categorical Traits. Annals of Human Genetics[J]. 2015, 79(4): 294-309, https://www.webofscience.com/wos/woscc/full-record/WOS:000356492000008.
[70] Wang, Ximei, Wang, Ting, Xu, Changbao, Zhao, Yanlong. Average Consensus of Multi-agent System With Binary-valued Observations. 15th International Conference on Control, Automation and Systems (ICCAS). 2015, 1601-1606, https://ieeexplore.ieee.org/abstract/document/7364613.
[71] Guo, Jin, Wang, Le Yi, Yin, George, Zhao, Yanlong, Zhang, JiFeng. Asymptotically efficient identification of FIR systems with quantized observations and general quantized inputs. Automatica[J]. 2015, 57: 113-122, http://dx.doi.org/10.1016/j.automatica.2015.04.009.
[72] Guo, Jin, Zhao, Yanlong, Sun, ChangYin. State estimation with quantised innovations and communication channels. IET Control Theory and Applications[J]. 2015, 9(17): 2606-2612, https://www.webofscience.com/wos/woscc/full-record/WOS:000364337400016.
[73] 许长豹, 赵延龙, 张纪峰. 合作博弈中的决策实施复杂度的定量分析. 第34届中国控制会议. 2015, https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=IPFD&filename=KZLL201507006123.
[74] Guo, Jin, george yin, Zhao, Yanlong, Zhang, Jifeng. Identification of FIR systems with quantized inputs and observations. IFAC-PapersOnLine[J]. 2015, 48(28): 674-679, https://www.sciencedirect.com/science/article/pii/S2405896315028311.
[75] He, Yanyu, Guo, Jin, Zhao, Yanlong, Zhao, Q, Liu, S. An Extension on the Quantized Input Condition for FIR Systems Identification with Quantized Observations. 34th Chinese Control Conference (CCC). 2015, 2156-2160, https://ieeexplore.ieee.org/abstract/document/7259967.
[76] Wang Ting, Zhao Yanlong, Wang Ximei, Soh AC, Selamat H, Rahman RZA, Ishak AJ, Ahmad SA, Ramli HRH, Faudzi AAM. Consensus Algorithm of Multi-agent System with Binary-Valued Communication. 10th Asian Control Conference (ASCC). 2015, https://ieeexplore.ieee.org/abstract/document/7244869.
[77] Guo, Jin, Zhao, Yanlong, Sun, ChangYin, Yu, Yao. Recursive identification of FIR systems with binary-valued outputs and communication channels. Automatica[J]. 2015, 60: 165-172, http://dx.doi.org/10.1016/j.automatica.2015.06.030.
[78] Kang, Guolian, Bi, Wenjian, Zhao, Yanlong, Zhang, JiFeng, Yang, Jun J, Xu, Heng, Loh, Mignon L, Hunger, Stephen P, Relling, Mary V, Pounds, Stanley, Cheng, Cheng. A New System Identification Approach to Identify Genetic Variants in Sequencing Studies for a Binary Phenotype. Human heredity[J]. 2014, 78(2): 104-116, https://www.webofscience.com/wos/woscc/full-record/WOS:000340812700007.
[79] Bi, Wenjian, Zhao, Yanlong. Set-valued system identification approach with stratified sampling. 33rd Chinese Control Conference. 2014, https://ieeexplore.ieee.org/abstract/document/6896107.
[80] Guo Jin, Zhao YanLong. Identification of the gain system with quantized observations and bounded persistent excitations. Science China Information Sciences[J]. 2014, 57(1): https://link.springer.com/article/10.1007/s11432-012-4761-x.
[81] Wenjian Bi, Yanlong Zhao. Iterative Parameter Estimate with Batched Binary-Valued Observations: Convergence with an Exponential Rate. IFAC Proceedings Volumes[J]. 2014, 3220-3225, http://dx.doi.org/10.3182/20140824-6-ZA-1003.02398.
[82] 王婷, 毕文健, 赵延龙, 薛文超. 基于RCS观测序列的目标识别算法一集值辨识法. 第33届中国控制会议. 2014, https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=IPFD&filename=KZLL201407001161.
[83] Yu, Hao, Bi, Wenjian, Liu, Chenxing, Zhao, Yanlong, Zhang, JiFeng, Zhang, Dai, Yue, Weihua. Protein-interaction-network-based analysis for genome-wide association analysis of schizophrenia in Han Chinese population. Journal of Psychiatric Research[J]. 2014, 50: 73-78, http://dx.doi.org/10.1016/j.jpsychires.2013.11.014.
[84] Guo, Jin, Zhang, JiFeng, Zhao, Yanlong. Multi-equilibrium property of metabolic networks: MMN module. International Journal of Robust and Nonlinear Control[J]. 2014, 24(10): 1505-1529, https://www.webofscience.com/wos/woscc/full-record/WOS:000335977300003.
[85] Yu, Hao, Bi, Wenjian, Liu, Chenxing, Zhao, Yanlong, Zhang, Dai, Yue, Weihua. A hypothesis-driven pathway analysis reveals myelin-related pathways that contribute to the risk of schizophrenia and bipolar disorder. Progress in Neuro-Psychopharmacology and Biological Psychiatry[J]. 2014, 51: 140-145, http://dx.doi.org/10.1016/j.pnpbp.2014.01.006.
[86] 毕文健, 赵延龙, 刘晨星, 岳伟华. 基于集值辨识的复杂疾病全基因组关联分析. 第32届中国控制会议. 2013, https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=IPFD&filename=KZLL201307006010.
[87] Bi Wenjian, Zhao Yanlong, Liu Chenxing, Yue Weihua. Set-Valued Analysis for Genome-Wide Association Studies of Complex Diseases. 2013 32ND CHINESE CONTROL CONFERENCE (CCC). 2013, 8262-8267, https://ieeexplore.ieee.org/abstract/document/6640899.
[88] Meng, Yang, Guo, Jin, Zhao, Yanlong. Parameter Sensitivity Analysis for the Calvin Cycle by Use of An Algebraic-Equation Method. 32nd Chinese Control Conference (CCC). 2013, 8268-8273, https://ieeexplore.ieee.org/abstract/document/6640900.
[89] Zhao, Yanlong, Guo, Jin, Zhang, JiFeng. Adaptive Tracking Control of Linear Systems With Binary-Valued Observations and Periodic Target. IEEE Transactions on Automatic Control[J]. 2013, 58(5): 1293-1298, https://www.webofscience.com/wos/woscc/full-record/WOS:000318542200019.
[90] Yu, Chengpu, Zhang, Cishen, Xie, Lihua. Blind system identification using precise and quantized observations. Automatica[J]. 2013, 49(9): 2822-2830, http://dx.doi.org/10.1016/j.automatica.2013.05.020.
[91] Guo, Jin, Zhao, Yanlong. Recursive projection algorithm on FIR system identification with binary-valued observations. Automatica[J]. 2013, 49(11): 3396-3401, http://dx.doi.org/10.1016/j.automatica.2013.08.011.
[92] Guo, Jin, Zhang, JiFeng, Zhao, Yanlong. Adaptive tracking of a class of first-order systems with binary-valued observations and fixed thresholds. Journal of Systems Science and Complexity[J]. 2012, 25(6): 1041-1051, https://link.springer.com/article/10.1007/s11424-012-1257-0.
[93] Zhao, Yanlong, Guo, Jian, Zhang, Jifeng. Adaptive tracking via binary-valued observations with fixed threshold. IFAC Proceedings Volumes[J]. 2012, 45(16): 1239-1244, https://www.sciencedirect.com/science/article/pii/S1474667015381234.
[94] Guo Jin, Zhao Yanlong. Recursive Identification of FIR Systems with Binary-Valued Observations. 12th International Conference on Control, Automation, Robotics and Vision (ICARCV). 2012, 30-35, https://ieeexplore.ieee.org/abstract/document/6485129.
[95] 赵延龙, 张纪峰, 郭金. 集值系统的辨识与适应控制. 系统科学与数学[J]. 2012, 32(10): 1257-1265, http://ir.amss.ac.cn/handle/2S8OKBNM/49824, http://www.irgrid.ac.cn/handle/1471x/6870834, http://ir.amss.ac.cn/handle/2S8OKBNM/49825.
[96] Bi Wenjian, Guo, Jin, Zhao, Yanlong, Zhang, Jifeng. strong connectivity decomposition method for analyzing the multi-equilibrium property of metabolic networks with no inhibition. 31st Chinese Control Conference. 2012, https://ieeexplore.ieee.org/abstract/document/6391263.
[97] 毕文健, 郭金, 赵延龙, 张纪峰. 无抑制作用代谢网络在多平衡态性质意义下的强连通分解. 第31届中国控制会议. 2012, https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=IPFD&filename=KZLL201207004314.
[98] 毕文健, 郭金, 赵延龙, 张纪峰. 一种针对代谢网络多平衡态性质的强连通分解方法. 系统科学与数学[J]. 2012, 32(6): 653-665, http://lib.cqvip.com/Qikan/Article/Detail?id=43062111.
[99] Guo, Jin, Zhao, Yanlong, Zhang, Jifeng. System identification with multi-threshold quantized observations and bounded persistent excitations. 2012 IEEE International Conference on Control Applications. 2012, https://ieeexplore.ieee.org/abstract/document/6402424.
[100] Chen, Tianshi, Zhao, Yanlong, ljung lennart. Impulse response estimation with binary measurements: A regularized FIR model approach. IFAC Proceedings Volumes[J]. 2012, 45(16): 113-118, https://www.sciencedirect.com/science/article/pii/S1474667015379374.
[101] Zhao Yanlong, Guo Jin, Zhang JiFeng. Adaptive Tracking Control of Linear Systems to Periodic Target with Set-Valued Information. 2011 30TH CHINESE CONTROL CONFERENCE (CCC). 2011, 6431-6436, https://ieeexplore.ieee.org/abstract/document/6001617.
[102] Guo, Jin, Zhao, Yanlong, Zhang, Jifeng. Adaptive tracking control with quantized output observations and single unknown parameter. 2011 International Conference on Modelling, Identification and Control. 2011, https://ieeexplore.ieee.org/abstract/document/5973748.
[103] Guo, Jin, Zhang, JiFeng, Zhao, Yanlong. Adaptive Tracking Control of A Class of First-Order Systems With Binary-Valued Observations and Time-Varying Thresholds. IEEE Transactions on Automatic Control[J]. 2011, 56(12): 2991-2996, https://www.webofscience.com/wos/woscc/full-record/WOS:000297806400026.
[104] 赵延龙, 郭金. 一类持续激励输入下量化系统的参数辨识. 第29届中国控制会议. 2010, https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CPFD&filename=KZLL2010070010HP.
[105] Zhao, Yanlong, Zhang, JiFeng, Wang, Le Yi, Yin, G George. Identification of Hammerstein systems with quantized observations. SIAM Journal on Control and Optimization[J]. 2010, 48(7): 4352-4376, http://dx.doi.org/10.1137/070707877.
[106] Guo, Jin, Zhao, Yanlong. Quantized system identification under a class of persistent excitations. 29th Chinese control conference. 2010, https://ieeexplore.ieee.org/abstract/document/5573081.
[107] You Keyou, Zhao Yanlong, Xie Lihua. Recursive Quantized State Estimation of Discrete-Time Linear Stochastic Systems. 7th Asian Control Conference (ASCC 2009). 2009, 170-175, https://ieeexplore.ieee.org/abstract/document/5276239.
[108] Wang, Le Yi, Yin, G George, Zhang, JiFeng, Zhao, Yanlong. Space and time complexities and sensor threshold selection in quantized identification. Automatica[J]. 2008, 44(12): 3014-3024, http://dx.doi.org/10.1016/j.automatica.2008.04.022.
[109] Zhao, Yanlong. Identification of Hammerstein Systems with Set-Valued Observations. IFAC Proceedings Volumes[J]. 2008, 41(2): 6458-6465, https://www.sciencedirect.com/science/article/pii/S1474667016399815.
[110] Wang, Le Yi, Yin, G George, Zhao, Yanlong, Zhang, JiFeng. Identification input design for consistent parameter estimation of linear systems with binary-valued output observations. IEEE Transactions on Automatic Control[J]. 2008, 53(4): 867-880, https://www.webofscience.com/wos/woscc/full-record/WOS:000256965900001.
[111] Zhao, Yanlong, Wang, Le Yi, Yin, G George, Zhang, JiFeng. Identification of Wiener systems with binary-valued output observations. Automatica[J]. 2007, 43(10): 1752-1765, http://dx.doi.org/10.1016/j.automatica.2007.03.006.
[112] Qu Huyu, Wang Le Yi, Yaprak Ece, Wang Hong, Zhao Yanlong, Fapojuwo AO, Kaminska B. Integrated information processing and communications: Complexity analysis. 6th IASTED International Conference on Wireless and Optical Communications. 2006, https://m.actapress.com/PaperInfo.aspx?PaperID=27481&reason=500.
[113] Wang, Le Yi, Yin, G George, Zhao, Yanlong, Zhang, JiFeng. Sufficient excitation conditions for system identification using binary-valued observations. American Control Conference 2006. 2006, https://ieeexplore.ieee.org/abstract/document/1657306.
[114] Zhao, Yanlong, Wang, Le Yi, Yin, G George, Zhang, JiFeng. Identification of Wiener models with binary-valued output observations. 25th Chinese Control Conference. 2006, https://ieeexplore.ieee.org/abstract/document/4060550.
发表著作
(1) System identification with quantized observations, Springer-Birkhauser, 2010-06, 第 4 作者
(2) 线性随机系统:一种关于建模、估计和辨识的几何方法(上下册), 上海科学技术出版社, 2018-01, 第 1 作者

科研活动

   
科研项目
( 1 ) 集值输出系统的随机辨识与适应控制, 负责人, 国家任务, 2012-01--2015-12
( 2 ) 2 型糖尿病的生物分子网络动态行为与调控机理研究, 参与, 国家任务, 2012-01--2016-12
( 3 ) 集值系统的辨识与控制, 负责人, 中国科学院计划, 2012-01--2015-12
( 4 ) 不确定信息下多体导航与控制的系统理论和数学基础,课题1, 参与, 国家任务, 2014-01--2019-12
( 5 ) 集值系统的辨识与适应控制, 负责人, 国家任务, 2017-01--2019-12
( 6 ) 非线性不确定性系统的智能控制, 负责人, 其他国际合作项目, 2019-06--2022-06
( 7 ) 不确定性系统智能控制的基础数学理论与方法, 参与, 国家任务, 2019-09--2024-08
( 8 ) 多重不确定性集值系统的辨识与控制, 负责人, 国家任务, 2021-01--2025-12
( 9 ) 6G通讯网络与技术的数学基础理论, 负责人, 中国科学院计划, 2021-06--2026-05

指导学生

已指导学生

胡敏  硕士研究生  070105-运筹学与控制论  

王西梅  博士研究生  070105-运筹学与控制论  

彭程  博士研究生  070105-运筹学与控制论  

武丽芳  硕士研究生  070105-运筹学与控制论  

张杭  博士研究生  070105-运筹学与控制论  

李爽  博士研究生  070105-运筹学与控制论  

史若诗  博士研究生  071101-系统理论  

现指导学生

何寅杰  博士研究生  070105-运筹学与控制论  

刘兴瑞  硕士研究生  071102-系统分析与集成  

李鑫  博士研究生  070105-运筹学与控制论  

韩天凝  博士研究生  071102-系统分析与集成