CASIA OpenIR  > 复杂系统管理与控制国家重点实验室  > 平行控制
Neural robust stabilization via event-triggering mechanism and adaptive learning technique
Wang, Ding1,2; Liu, Derong3
Source PublicationNEURAL NETWORKS
2018-06-01
Volume102Pages:27-35
SubtypeArticle
AbstractThe robust control synthesis of continuous-time nonlinear systems with uncertain term is investigated via event-triggering mechanism and adaptive critic learning technique. We mainly focus on combining the event-triggering mechanism with adaptive critic designs, so as to solve the nonlinear robust control problem. This can not only make better use of computation and communication resources, but also conduct controller design from the view of intelligent optimization. Through theoretical analysis, the nonlinear robust stabilization can be achieved by obtaining an event-triggered optimal control law of the nominal system with a newly defined cost function and a certain triggering condition. The adaptive critic technique is employed to facilitate the event-triggered control design, where a neural network is introduced as an approximator of the learning phase. The performance of the event-triggered robust control scheme is validated via simulation studies and comparisons. The present method extends the application domain of both event-triggered control and adaptive critic control to nonlinear systems possessing dynamical uncertainties. (c) 2018 Elsevier Ltd. All rights reserved.
KeywordAdaptive Critic Designs Adaptive Dynamic Programming Event-triggered Control Neural Networks Robust Stabilization Uncertainties
WOS HeadingsScience & Technology ; Technology ; Life Sciences & Biomedicine
DOI10.1016/j.neunet.2018.02.007
WOS KeywordNONLINEAR-SYSTEMS ; DESIGN
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61773373 ; Beijing Natural Science Foundation(4162065) ; Young Elite Scientists Sponsorship Program CAST ; Youth Innovation Promotion Association CAS ; Early Career Development Award of SKLMCCS ; U1501251 ; 61533017)
WOS Research AreaComputer Science ; Neurosciences & Neurology
WOS SubjectComputer Science, Artificial Intelligence ; Neurosciences
WOS IDWOS:000429306200004
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/22005
Collection复杂系统管理与控制国家重点实验室_平行控制
Affiliation1.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
Recommended Citation
GB/T 7714
Wang, Ding,Liu, Derong. Neural robust stabilization via event-triggering mechanism and adaptive learning technique[J]. NEURAL NETWORKS,2018,102:27-35.
APA Wang, Ding,&Liu, Derong.(2018).Neural robust stabilization via event-triggering mechanism and adaptive learning technique.NEURAL NETWORKS,102,27-35.
MLA Wang, Ding,et al."Neural robust stabilization via event-triggering mechanism and adaptive learning technique".NEURAL NETWORKS 102(2018):27-35.
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