CASIA OpenIR  > 复杂系统管理与控制国家重点实验室  > 平行控制
Neural network robust tracking control with adaptive critic framework for uncertain nonlinear systems
Wang, Ding1,2; Liu, Derong3; Zhang, Yun3; Li, Hongyi3
Source PublicationNEURAL NETWORKS
2018
Volume97Pages:11-18
SubtypeArticle
AbstractIn this paper, we aim to tackle the neural robust tracking control problem for a class of nonlinear systems using the adaptive critic technique. The main contribution is that a neural-network-based robust tracking control scheme is established for nonlinear systems involving matched uncertainties. The augmented system considering the tracking error and the reference trajectory is formulated and then addressed under adaptive critic optimal control formulation, where the initial stabilizing controller is not needed. The approximate control law is derived via solving the Hamilton-Jacobi-Bellman equation related to the nominal augmented system, followed by closed-loop stability analysis. The robust tracking control performance is guaranteed theoretically via Lyapunov approach and also verified through simulation illustration. (C) 2017 Elsevier Ltd. All rights reserved.
KeywordAdaptive Critic Designs Dynamical Uncertainty Learning Systems Neural Networks Optimal Control Robust Tracking Control
WOS HeadingsScience & Technology ; Technology ; Life Sciences & Biomedicine
DOI10.1016/j.neunet.2017.09.005
WOS KeywordDESIGN
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(U1501251 ; Beijing Natural Science Foundation(4162065) ; Early Career Development Award of SKLMCCS ; 61773373 ; 61533017 ; 61233001)
WOS Research AreaComputer Science ; Neurosciences & Neurology
WOS SubjectComputer Science, Artificial Intelligence ; Neurosciences
WOS IDWOS:000416454000003
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/21918
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
First Author AffilicationChinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Wang, Ding,Liu, Derong,Zhang, Yun,et al. Neural network robust tracking control with adaptive critic framework for uncertain nonlinear systems[J]. NEURAL NETWORKS,2018,97:11-18.
APA Wang, Ding,Liu, Derong,Zhang, Yun,&Li, Hongyi.(2018).Neural network robust tracking control with adaptive critic framework for uncertain nonlinear systems.NEURAL NETWORKS,97,11-18.
MLA Wang, Ding,et al."Neural network robust tracking control with adaptive critic framework for uncertain nonlinear systems".NEURAL NETWORKS 97(2018):11-18.
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