CASIA OpenIR  > 复杂系统管理与控制国家重点实验室  > 平行控制
Neural Network Learning and Robust Stabilization of Nonlinear Systems With Dynamic Uncertainties
Wang, Ding1,2,3; Liu, Derong4; Mu, Chaoxu5; Zhang, Yun4
Source PublicationIEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
2018-04-01
Volume29Issue:4Pages:1342-1351
SubtypeArticle
AbstractDue to the existence of dynamical uncertainties, it is important to pay attention to the robustness of nonlinear control systems, especially when designing adaptive critic control strategies. In this paper, based on the neural network learning component, the robust stabilization scheme of nonlinear systems with general uncertainties is developed. Through system transformation and employing adaptive critic technique, the approximate optimal controller of the nominal plant can be applied to accomplish robust stabilization for the original uncertain dynamics. The neural network weight vector is very convenient to initialize by virtue of the improved critic learning formulation. Under the action of the approximate optimal control law, the stability issues for the closed-loop form of nominal and uncertain plants are analyzed, respectively. Simulation illustrations via a typical nonlinear system and a practical power system are included to verify the control performance.
KeywordAdaptive Critic Dynamical Uncertainty Learning Systems Neural Networks Optimal Control Robust Stabilization
WOS HeadingsScience & Technology ; Technology
DOI10.1109/TNNLS.2017.2749641
WOS KeywordGUARANTEED COST CONTROL ; DESIGN
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS IDWOS:000427859600046
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/21975
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.Chinese Acad Sci, Inst Automat, Beijing Engn Res Ctr Intelligent Syst & Technol, Beijing 100190, Peoples R China
3.Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing 100049, Peoples R China
4.Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Guangdong, Peoples R China
5.Tianjin Univ, Sch Elect & Informat Engn, Tianjin 300072, Peoples R China
First Author AffilicationChinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China;  Institute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Wang, Ding,Liu, Derong,Mu, Chaoxu,et al. Neural Network Learning and Robust Stabilization of Nonlinear Systems With Dynamic Uncertainties[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2018,29(4):1342-1351.
APA Wang, Ding,Liu, Derong,Mu, Chaoxu,&Zhang, Yun.(2018).Neural Network Learning and Robust Stabilization of Nonlinear Systems With Dynamic Uncertainties.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,29(4),1342-1351.
MLA Wang, Ding,et al."Neural Network Learning and Robust Stabilization of Nonlinear Systems With Dynamic Uncertainties".IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 29.4(2018):1342-1351.
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