On Mixed Data and Event Driven Design for Adaptive-Critic-Based Nonlinear H-infinity Control

doi:10.1109/TNNLS.2016.2642128

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 > 平行控制

	On Mixed Data and Event Driven Design for Adaptive-Critic-Based Nonlinear H-infinity Control
	Wang, Ding1,2 ; Mu, Chaoxu 3; Liu, Derong 4; Ma, Hongwen1,2
刊名	IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
	2018-04-01
卷号	29 期号:4 页码:993-1005
关键词	Adaptive Critic Designs Adaptive Dynamic Programming (Adp) Data Driven Control Event Driven Control Hamilton-jacobi-isaacs (Hji) Equation Neural Network Identification Nonlinear H-infinity Control Zero-sum Game
DOI	10.1109/TNNLS.2016.2642128
文献子类	Article
英文摘要	In this paper, based on the adaptive critic learning technique, the H-infinity control for a class of unknown nonlinear dynamic systems is investigated by adopting a mixed data and event driven design approach. The nonlinear H-infinity control problem is formulated as a two-player zero-sum differential game and the adaptive critic method is employed to cope with the data-based optimization. The novelty lies in that the data driven learning identifier is combined with the event driven design formulation, in order to develop the adaptive critic controller, thereby accomplishing the nonlinear H-infinity control. The event driven optimal control law and the time driven worst case disturbance law are approximated by constructing and tuning a critic neural network. Applying the event driven feedback control, the closed-loop system is built with stability analysis. Simulation studies are conducted to verify the theoretical results and illustrate the control performance. It is significant to observe that the present research provides a new avenue of integrating data-based control and event-triggering mechanism into establishing advanced adaptive critic systems.
WOS关键词	ZERO-SUM GAMES ; DISCRETE-TIME-SYSTEMS ; STRICT-FEEDBACK FORM ; LEARNING ALGORITHM ; UNKNOWN DYNAMICS ; STATE-FEEDBACK ; STABILIZATION ; ITERATION ; SCHEME
WOS研究方向	Computer Science ; Engineering
语种	英语
WOS记录号	WOS:000427859600019
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/21976]
专题	复杂系统管理与控制国家重点实验室_平行控制
作者单位	1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Tianjin Univ, Sch Elect & Informat Engn, Tianjin Key Lab Proc Measurement & Control, Tianjin 300072, Peoples R China 4.Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China
推荐引用方式 GB/T 7714	Wang, Ding,Mu, Chaoxu,Liu, Derong,et al. On Mixed Data and Event Driven Design for Adaptive-Critic-Based Nonlinear H-infinity Control[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2018,29(4):993-1005.
APA	Wang, Ding,Mu, Chaoxu,Liu, Derong,&Ma, Hongwen.(2018).On Mixed Data and Event Driven Design for Adaptive-Critic-Based Nonlinear H-infinity Control.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,29(4),993-1005.
MLA	Wang, Ding,et al."On Mixed Data and Event Driven Design for Adaptive-Critic-Based Nonlinear H-infinity Control".IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 29.4(2018):993-1005.