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Learning and Guaranteed Cost Control With Event-Based Adaptive Critic Implementation | |
Wang, Ding1,2![]() | |
Source Publication | IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
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ISSN | 2162-237X |
2018-12-01 | |
Volume | 29Issue:12Pages:6004-6014 |
Corresponding Author | Wang, Ding(ding.wang@ia.ac.cn) |
Abstract | 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. |
Keyword | Adaptive dynamic programming event-based design guaranteed cost control optimal control self-learning technique |
DOI | 10.1109/TNNLS.2018.2817256 |
WOS Keyword | INFINITY STATE-FEEDBACK ; SYSTEMS ; STABILIZATION ; STABILITY |
Indexed By | SCI |
Language | 英语 |
Funding Project | 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 |
Funding Organization | 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 Research Area | Computer Science ; Engineering |
WOS Subject | Computer Science, Artificial Intelligence ; Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic |
WOS ID | WOS:000451230100018 |
Publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.ia.ac.cn/handle/173211/25700 |
Collection | 中国科学院自动化研究所 |
Corresponding Author | Wang, Ding |
Affiliation | 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 |
First Author Affilication | Institute of Automation, Chinese Academy of Sciences |
Corresponding Author Affilication | Institute of Automation, Chinese Academy of Sciences |
Recommended Citation 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. |
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