Event-Triggered H-infinity Control for Continuous-Time Nonlinear System via Concurrent Learning

doi:10.1109/TSMC.2016.2531680

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 深度强化学习

	Event-Triggered H-infinity Control for Continuous-Time Nonlinear System via Concurrent Learning
	Zhang, Qichao; Zhao, Dongbin; Zhu, Yuanheng
发表期刊	IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
	2017-07-01
卷号	47 期号:7 页码:1071-1081
文章类型	Article
摘要	In this paper, the H-infinity optimal control problem for a class of continuous-time nonlinear systems is investigated using event-triggered method. First, the H-infinity optimal control problem is formulated as a two-player zero-sum (ZS) differential game. Then, an adaptive triggering condition is derived for the ZS game with an event-triggered control policy and a time-triggered disturbance policy. The event-triggered controller is updated only when the triggering condition is not satisfied. Therefore, the communication between the plant and the controller is reduced. Furthermore, a positive lower bound on the minimal intersample time is provided to avoid Zeno behavior. For implementation purpose, the event-triggered concurrent learning algorithm is proposed, where only one critic neural network (NN) is used to approximate the value function, the control policy and the disturbance policy. During the learning process, the traditional persistence of excitation condition is relaxed using the recorded data and instantaneous data together. Meanwhile, the stability of closed-loop system and the uniform ultimate boundedness (UUB) of the critic NN's parameters are proved by using Lyapunov technique. Finally, simulation results verify the feasibility to the ZS game and the corresponding H-infinity control problem.
关键词	Concurrent Learning Event-triggered Control H-infinity Optimal Control Neural Networks (Nns) Zero-sum (Zs) Game
WOS标题词	Science & Technology ; Technology
DOI	10.1109/TSMC.2016.2531680
关键词[WOS]	ZERO-SUM GAMES ; STATE-FEEDBACK CONTROL ; UNKNOWN DYNAMICS ; ALGORITHM ; EQUATION ; DESIGNS
收录类别	SCI
语种	英语
项目资助者	National Natural Science Foundation of China(61273136 ; 61573353 ; 61533017)
WOS研究方向	Automation & Control Systems ; Computer Science
WOS类目	Automation & Control Systems ; Computer Science, Cybernetics
WOS记录号	WOS:000404354600004
引用统计	被引频次：141[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/173211/14335
专题	多模态人工智能系统全国重点实验室_深度强化学习
通讯作者	Zhao, Dongbin
作者单位	Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100190, Peoples R China
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Zhang, Qichao,Zhao, Dongbin,Zhu, Yuanheng. Event-Triggered H-infinity Control for Continuous-Time Nonlinear System via Concurrent Learning[J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,2017,47(7):1071-1081.
APA	Zhang, Qichao,Zhao, Dongbin,&Zhu, Yuanheng.(2017).Event-Triggered H-infinity Control for Continuous-Time Nonlinear System via Concurrent Learning.IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,47(7),1071-1081.
MLA	Zhang, Qichao,et al."Event-Triggered H-infinity Control for Continuous-Time Nonlinear System via Concurrent Learning".IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 47.7(2017):1071-1081.

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