Adaptive Critics for Decentralized Stabilization of Constrained-Input Nonlinear Interconnected Systems

doi:10.1109/TSMC.2021.3089944

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 复杂系统智能机理与平行控制团队

	Adaptive Critics for Decentralized Stabilization of Constrained-Input Nonlinear Interconnected Systems
	Yang, Xiong 1; Zhou, Yingjiang 2,3; Dong, Na 1; Wei, Qinglai4
发表期刊	IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
ISSN	2168-2216
	2021-06-22
页码	13
通讯作者	Yang, Xiong(xiong.yang@tju.edu.cn)
摘要	This article considers the decentralized stabilization problem of continuous-time nonlinear systems subject to unmatched interconnections and asymmetric input constraints. Initially, with the nonquadratic value functions being introduced to constrained auxiliary subsystems, the decentralized stabilization problem is converted into an array of nonlinear optimal control problems. It is proved that all solutions of these nonlinear optimal control problems together assure asymptotic stability of the entire system. Then, in the framework of adaptive critics, the critic-only architecture is built to solve the Hamilton-Jacobi-Bellman equations associated with these solutions. The critic-only architecture is implemented via critic neural networks (NNs) with their weight vectors being tuned through an improved gradient descent method. A remarkable feature of the present gradient descent approach is that it simultaneously utilizes previously stored and instantaneous state data, which makes the persistence of excitation conditions relaxed. After that, with Lyapunov's techniques being employed, asymptotic stability of the closed-loop auxiliary subsystems and uniform ultimate boundedness of the critic NNs' weight estimation errors are demonstrated. Finally, simulations of an unmatched interconnected nonlinear plant are provided to validate the present decentralized control method.
关键词	Optimal control Interconnected systems Nonlinear systems Decentralized control Asymptotic stability Stability analysis Artificial neural networks Adaptive critics adaptive dynamic programming (ADP) asymmetric input constraints decentralized control reinforcement learning (RL)
DOI	10.1109/TSMC.2021.3089944
关键词[WOS]	ROBUST-CONTROL ; TRACKING ; DESIGN
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61973228]
项目资助者	National Natural Science Foundation of China
WOS研究方向	Automation & Control Systems ; Computer Science
WOS类目	Automation & Control Systems ; Computer Science, Cybernetics
WOS记录号	WOS:000732159100001
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：29[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/47020
专题	多模态人工智能系统全国重点实验室_复杂系统智能机理与平行控制团队
通讯作者	Yang, Xiong
作者单位	1.Tianjin Univ, Sch Elect & Informat Engn, Tianjin 300072, Peoples R China 2.Nanjing Univ Posts & Telecommun, Coll Automat, Nanjing 210023, Peoples R China 3.Nanjing Univ Posts & Telecommun, Coll Artificial Intelligence, Nanjing 210023, Peoples R China 4.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Yang, Xiong,Zhou, Yingjiang,Dong, Na,et al. Adaptive Critics for Decentralized Stabilization of Constrained-Input Nonlinear Interconnected Systems[J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,2021:13.
APA	Yang, Xiong,Zhou, Yingjiang,Dong, Na,&Wei, Qinglai.(2021).Adaptive Critics for Decentralized Stabilization of Constrained-Input Nonlinear Interconnected Systems.IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,13.
MLA	Yang, Xiong,et al."Adaptive Critics for Decentralized Stabilization of Constrained-Input Nonlinear Interconnected Systems".IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2021):13.