中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Online approximate solution of HJI equation for unknown constrained-input nonlinear continuous-time systems

文献类型:期刊论文

作者Yang, Xiong; Liu, Derong; Ma, Hongwen; Xu, Yancai
刊名INFORMATION SCIENCES
出版日期2016-01-20
卷号328页码:435-454
关键词Adaptive dynamic programming Hamilton-Jacobi-Isaacs equation Input constraint Neural network Optimal control Reinforcement learning
英文摘要This paper is concerned with the approximate solution of Hamilton-Jacobi-Isaacs (HJI) equation for constrained-input nonlinear continuous-time systems with unknown dynamics. We develop a novel online adaptive dynamic programming-based algorithm to learn the solution of the HJI equation. The present algorithm is implemented via an identifier-critic architecture, which consists of two neural networks (NNs): an identifier NN is applied to estimate the unknown system dynamics and a critic NN is constructed to obtain the approximate solution of the HJI equation. An advantage of the proposed architecture is that the identifier NN and the critic NN are tuned simultaneously. With introducing two additional terms, namely, the stabilizing term and the robustifying term to update the critic NN, the initial stabilizing control is no longer required. Meanwhile, the developed critic tuning rule not only ensures convergence of the critic to the optimal saddle point but also guarantees stability of the closed-loop system. Moreover, the uniform ultimate boundedness of the weights of the identifier NN and the critic NN are proved by using Lyapunov's direct method. Finally, to illustrate the effectiveness and applicability of the developed approach, two simulation examples are provided. (C) 2015 Elsevier Inc. All rights reserved.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Information Systems
研究领域[WOS]Computer Science
关键词[WOS]ZERO-SUM GAMES ; DYNAMIC-PROGRAMMING ALGORITHM ; ADAPTIVE OPTIMAL-CONTROL ; STATE-FEEDBACK CONTROL ; H-INFINITY CONTROL ; LEARNING ALGORITHM ; NEURAL-NETWORKS ; CONTROL DESIGN ; ARCHITECTURE ; FORMULATION
收录类别SCI
语种英语
WOS记录号WOS:000365054800028
公开日期2016-02-26
源URL[http://ir.ia.ac.cn/handle/173211/10518]  
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Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Yang, Xiong,Liu, Derong,Ma, Hongwen,et al. Online approximate solution of HJI equation for unknown constrained-input nonlinear continuous-time systems[J]. INFORMATION SCIENCES,2016,328:435-454.
APA Yang, Xiong,Liu, Derong,Ma, Hongwen,&Xu, Yancai.(2016).Online approximate solution of HJI equation for unknown constrained-input nonlinear continuous-time systems.INFORMATION SCIENCES,328,435-454.
MLA Yang, Xiong,et al."Online approximate solution of HJI equation for unknown constrained-input nonlinear continuous-time systems".INFORMATION SCIENCES 328(2016):435-454.

入库方式: OAI收割

来源:自动化研究所

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