A New Approach to Finite-Horizon Optimal Control for Discrete-Time Affine Nonlinear Systems via a Pseudolinear Method
Wei, Qinglai1,2,3; Zhu, Liao1,2,3; Li, Tao1,2,3; Liu, Derong4
发表期刊IEEE TRANSACTIONS ON AUTOMATIC CONTROL
ISSN0018-9286
2022-05-01
卷号67期号:5页码:2610-2617
摘要

In this article, a new time-varying adaptivedynamic programming (ADP) algorithm is developed to solve finite-horizon optimal control problems for a class of discrete-time affine nonlinear systems. Inspired by the pseudolinear method, the nonlinear system can be approximated by a series of time-varying linear systems. In each iteration of the time-varying ADP algorithm, the optimal control law for the time-varying linear system is obtained. For an arbitrary initial state, it is proven that states of the time-varying linear systems converge to the states of discrete-time affine nonlinear systems. It is also shown that the iterative value functions and the iterative control laws converge to the optimal value function and the optimal control law, respectively. Finally, numerical results are presented to verify the effectiveness of the present method.

关键词Time-varying systems Nonlinear systems Optimal control Heuristic algorithms Dynamic programming Neural networks Linear systems Adaptive dynamic programming approximate dynamic programming finite horizon nonlinear systems optimal control pseudolinear approximation
DOI10.1109/TAC.2021.3087452
收录类别SCI
语种英语
资助项目National Key Research and Development Program of China[2018YFB1702300] ; National Natural Science Foundation of China[62073321] ; National Natural Science Foundation of China[62073085] ; Guangdong Introducing Innovative and Enterpreneurial Teams of The Pearl River Talent Recruitment Program[2019ZT08X340]
项目资助者National Key Research and Development Program of China ; National Natural Science Foundation of China ; Guangdong Introducing Innovative and Enterpreneurial Teams of The Pearl River Talent Recruitment Program
WOS研究方向Automation & Control Systems ; Engineering
WOS类目Automation & Control Systems ; Engineering, Electrical & Electronic
WOS记录号WOS:000794194000045
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
七大方向——子方向分类平行管理与控制
国重实验室规划方向分类智能计算与学习
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被引频次:27[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/49420
专题多模态人工智能系统全国重点实验室_复杂系统智能机理与平行控制团队
通讯作者Wei, Qinglai
作者单位1.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
3.Macau Univ Sci & Technol, Inst Syst Engn, Macau 999078, Peoples R China
4.Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Peoples R China
第一作者单位中国科学院自动化研究所
通讯作者单位中国科学院自动化研究所
推荐引用方式
GB/T 7714
Wei, Qinglai,Zhu, Liao,Li, Tao,et al. A New Approach to Finite-Horizon Optimal Control for Discrete-Time Affine Nonlinear Systems via a Pseudolinear Method[J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL,2022,67(5):2610-2617.
APA Wei, Qinglai,Zhu, Liao,Li, Tao,&Liu, Derong.(2022).A New Approach to Finite-Horizon Optimal Control for Discrete-Time Affine Nonlinear Systems via a Pseudolinear Method.IEEE TRANSACTIONS ON AUTOMATIC CONTROL,67(5),2610-2617.
MLA Wei, Qinglai,et al."A New Approach to Finite-Horizon Optimal Control for Discrete-Time Affine Nonlinear Systems via a Pseudolinear Method".IEEE TRANSACTIONS ON AUTOMATIC CONTROL 67.5(2022):2610-2617.
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