Learning and Guaranteed Cost Control With Event-Based Adaptive Critic Implementation

doi:10.1109/TNNLS.2018.2817256

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

	Learning and Guaranteed Cost Control With Event-Based Adaptive Critic Implementation
	Wang, Ding1,2 ; Liu, Derong 3
发表期刊	IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
ISSN	2162-237X
	2018-12-01
卷号	29 期号:12 页码:6004-6014
通讯作者	Wang, Ding(ding.wang@ia.ac.cn)
摘要	This paper focuses on the event-triggered guaranteed cost control design of nonlinear systems via a self-learning technique. In brief, an event-based guaranteed cost control strategy of nonlinear systems subjects to matched uncertainties is developed, thereby balancing the performance of guaranteed cost and the actuality of limited communication resource. The original control design is transformed into an optimal control problem with an event-based mechanism, where the relationship of guaranteed cost performance compared to the time-based formulation is discussed. A critic neural network is constructed for implementing the event-based optimal control design with stability guarantee. Simulation experiments are carried out to verify the theoretical results in detail.
关键词	Adaptive dynamic programming event-based design guaranteed cost control optimal control self-learning technique
DOI	10.1109/TNNLS.2018.2817256
关键词[WOS]	INFINITY STATE-FEEDBACK ; SYSTEMS ; STABILIZATION ; STABILITY
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61773373] ; National Natural Science Foundation of China[U1501251] ; National Natural Science Foundation of China[61533017] ; Beijing Natural Science Foundation[4162065] ; Young Elite Scientists Sponsorship Program CAST ; Youth Innovation Promotion Association CAS ; Early Career Development Award of SKLMCCS ; National Natural Science Foundation of China[61773373] ; National Natural Science Foundation of China[U1501251] ; National Natural Science Foundation of China[61533017] ; Beijing Natural Science Foundation[4162065] ; Young Elite Scientists Sponsorship Program CAST ; Youth Innovation Promotion Association CAS ; Early Career Development Award of SKLMCCS
项目资助者	National Natural Science Foundation of China ; Beijing Natural Science Foundation ; Young Elite Scientists Sponsorship Program CAST ; Youth Innovation Promotion Association CAS ; Early Career Development Award of SKLMCCS
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号	WOS:000451230100018
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：75[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/173211/25700
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	Wang, Ding
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, Sch Comp & Control Engn, Beijing 100049, Peoples R China 3.Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Guangdong, 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	Wang, Ding,Liu, Derong. Learning and Guaranteed Cost Control With Event-Based Adaptive Critic Implementation[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2018,29(12):6004-6014.
APA	Wang, Ding,&Liu, Derong.(2018).Learning and Guaranteed Cost Control With Event-Based Adaptive Critic Implementation.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,29(12),6004-6014.
MLA	Wang, Ding,et al."Learning and Guaranteed Cost Control With Event-Based Adaptive Critic Implementation".IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 29.12(2018):6004-6014.