中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Bounded robust control design for uncertain nonlinear systems using single-network adaptive dynamic programming

文献类型:期刊论文

作者Huang, Yuzhu1; Wang, Ding2; Liu, Derong3
刊名NEUROCOMPUTING
出版日期2017-11-29
卷号266页码:128-140
关键词Neural Networks Optimal Control Adaptive Dynamic Programming Bounded Robust Control Uncertain Nonlinear Systems
DOI10.1016/j.neucom.2017.05.030
文献子类Article
英文摘要This paper is an effort towards developing an optimal learning algorithm to design the bounded robust controller for uncertain nonlinear systems with control constraints using single-network adaptive dynamic programming (ADP). First, the bounded robust control problem is transformed into an optimal control problem of the nominal system by a modified cost function with nonquadratic utility, which is used not only to account for all possible uncertainties, but also to deal with the control constraints. Then based on single-network ADP, an optimal learning algorithm is proposed for the nominal system by a single critic network to approximate the solution of Hamilton-Jacobi-Bellman (HJB) equation. An additional adjusting term is employed to stabilize the system and relax the requirement for an initial stabilizing control. Besides, uniform ultimate boundedness of the closed-loop system is guaranteed by Lyapunov's direct method during the learning process. Moreover, the equivalence of the approximate optimal solution of optimal control problem and the solution of bounded robust control problem is also shown. Finally, four simulation examples are provided to demonstrate the effectiveness of the proposed approach. (C) 2017 Elsevier B.V. All rights reserved.
WOS关键词CONSTRAINED-INPUT SYSTEMS ; GUARANTEED COST CONTROL ; TIME-SYSTEMS ; HJB SOLUTION ; STABILIZATION
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000408183900013
资助机构National Natural Science Foundation of China(61233001 ; Beijing Natural Science Foundation(4162065) ; Early Career Development Award of SKLMCCS ; 61533017 ; U1501251)
源URL[http://ir.ia.ac.cn/handle/173211/20720]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_智能化团队
作者单位1.Natl Res Ctr Gas Turbine & IGCC Technol, Syst Control Res Sect, Beijing 100084, Peoples R China
2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
3.Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Guangdong, Peoples R China
推荐引用方式
GB/T 7714
Huang, Yuzhu,Wang, Ding,Liu, Derong. Bounded robust control design for uncertain nonlinear systems using single-network adaptive dynamic programming[J]. NEUROCOMPUTING,2017,266:128-140.
APA Huang, Yuzhu,Wang, Ding,&Liu, Derong.(2017).Bounded robust control design for uncertain nonlinear systems using single-network adaptive dynamic programming.NEUROCOMPUTING,266,128-140.
MLA Huang, Yuzhu,et al."Bounded robust control design for uncertain nonlinear systems using single-network adaptive dynamic programming".NEUROCOMPUTING 266(2017):128-140.

入库方式: OAI收割

来源:自动化研究所

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