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

doi:10.1109/TSMC.2016.2531680

CORC > 自动化研究所 > 中国科学院自动化研究所 > 复杂系统管理与控制国家重点实验室 > 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
刊名	IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
	2017-07-01
卷号	47 期号:7 页码:1071-1081
关键词	Concurrent Learning Event-triggered Control H-infinity Optimal Control Neural Networks (Nns) Zero-sum (Zs) Game
DOI	10.1109/TSMC.2016.2531680
文献子类	Article
英文摘要	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.
WOS关键词	ZERO-SUM GAMES ; STATE-FEEDBACK CONTROL ; UNKNOWN DYNAMICS ; ALGORITHM ; EQUATION ; DESIGNS
WOS研究方向	Automation & Control Systems ; Computer Science
语种	英语
WOS记录号	WOS:000404354600004
资助机构	National Natural Science Foundation of China(61273136 ; 61573353 ; 61533017)
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/14335]
专题	复杂系统管理与控制国家重点实验室_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
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.