A Novel Resilient Control Scheme for a Class of Markovian Jump Systems With Partially Unknown Information

doi:10.1109/TCYB.2021.3050619

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	A Novel Resilient Control Scheme for a Class of Markovian Jump Systems With Partially Unknown Information
	Zhang, Kun 1; Su, Rong 2; Zhang, Huaguang 3,4
	2021-02-02
发表期刊	IEEE TRANSACTIONS ON CYBERNETICS
ISSN	2168-2267
页码	10
摘要	In the complex practical engineering systems, many interferences and attacking signals are inevitable in industrial applications. This article investigates the reinforcement learning (RL)-based resilient control algorithm for a class of Markovion jump systems with completely unknown transition probability information. Based on the Takagi-Sugeno logical structure, the resilient control problem of the nonlinear Markovion systems is converted into solving a set of local dynamic games, where the control policy and attacking signal are considered as two rival players. Combining the potential learning and forecasting abilities, the new integral RL (IRL) algorithm is designed via system data to compute the zero-sum games without using the information of stationary transition probability. Besides, the matrices of system dynamics can also be partially unknown, and the new architecture requires less transmission and computation during the learning process. The stochastic stability of the system dynamics under the developed overall resilient control is guaranteed based on the Lyapunov theory. Finally, the designed IRL-based resilient control is applied to a typical multimode robot arm system, and implementing results demonstrate the practicality and effectiveness.
关键词	Games Process control Markov processes Game theory Actuators System dynamics Heuristic algorithms Adaptive dynamic programming integral reinforcement learning (IRL) resilient control zero-sum game
DOI	10.1109/TCYB.2021.3050619
收录类别	SCI
语种	英语
资助项目	National Postdoctoral Program for Innovative Talents[BX20200357] ; China Postdoctoral Science Foundation[2020M680718] ; Singapore National Research Foundation Delta-NTU Corporate Lab Program[DELTA-NTU CORP-SMA-RP2] ; Singapore Ministry of Education Tier 1 Academic Research[2013-T1002-177]
WOS研究方向	Automation & Control Systems ; Computer Science
WOS类目	Automation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS记录号	WOS:000732386000001
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/59722
专题	中国科学院数学与系统科学研究院
通讯作者	Zhang, Kun
作者单位	1.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China 2.Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore 3.Northeastern Univ, Key Lab Synthet Automat Proc Ind, Shenyang 110819, Peoples R China 4.Northeastern Univ, Sch Informat Sci & Engn, Shenyang 110819, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Kun,Su, Rong,Zhang, Huaguang. A Novel Resilient Control Scheme for a Class of Markovian Jump Systems With Partially Unknown Information[J]. IEEE TRANSACTIONS ON CYBERNETICS,2021:10.
APA	Zhang, Kun,Su, Rong,&Zhang, Huaguang.(2021).A Novel Resilient Control Scheme for a Class of Markovian Jump Systems With Partially Unknown Information.IEEE TRANSACTIONS ON CYBERNETICS,10.
MLA	Zhang, Kun,et al."A Novel Resilient Control Scheme for a Class of Markovian Jump Systems With Partially Unknown Information".IEEE TRANSACTIONS ON CYBERNETICS (2021):10.