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题名

Firefly optimized neural network-based trajectory tracking control of partially unknown multiplayer nonlinear systems

作者
通讯作者Zhao, Bo
发表日期
2024-09-01
DOI
发表期刊
ISSN
1049-8923
EISSN
1099-1239
摘要
In this paper, we develop an integral reinforcement learning (IRL)-based trajectory tracking control (TTC) scheme via firefly optimized neural networks for partially unknown multiplayer nonlinear systems. Under the developed TTC scheme, IRL is proved to be equivalent to the classical policy iteration, which guarantees the convergence of the IRL algorithm. By implementing the IRL method, the requirement of the drift dynamics is obviated. The TTC policy for each player is obtained by solving the coupled Hamilton-Jacobi equation with a critic neural network, whose weight vector is tuned by the firefly algorithm. The tracking error of the closed-loop system is guaranteed to be stable via the Lyapunov's direct method. Simulation results illustrate the effectiveness and superiority of the present IRL-based TTC scheme, and show that the success rate of system operation is increased by introducing the firefly algorithm.
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语种
英语
学校署名
其他
资助项目
Shenzhen Science and Technology Program[JCYJ20230807093513027] ; Fundamental Research Funds for the Central Universities[1243300008] ; null[62073085] ; null[61973330] ; null[62350055]
WOS研究方向
Automation & Control Systems ; Engineering ; Mathematics
WOS类目
Automation & Control Systems ; Engineering, Electrical & Electronic ; Mathematics, Applied
WOS记录号
WOS:001306092200001
出版者
来源库
Web of Science
引用统计
成果类型期刊论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/828925
专题工学院_系统设计与智能制造学院
作者单位
1.Guangdong Police Coll, Sch Publ Secur & Traff Management, Guangzhou, Peoples R China
2.Beijing Normal Univ, Sch Syst Sci, Beijing, Peoples R China
3.Southern Univ Sci & Technol, Sch Syst Design & Intelligent Mfg, Shenzhen, Peoples R China
4.Univ Illinois, Dept Elect & Comp Engn, Chicago, IL USA
推荐引用方式
GB/T 7714
Wu, Qiuye,Zhao, Bo,Liu, Derong. Firefly optimized neural network-based trajectory tracking control of partially unknown multiplayer nonlinear systems[J]. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL,2024.
APA
Wu, Qiuye,Zhao, Bo,&Liu, Derong.(2024).Firefly optimized neural network-based trajectory tracking control of partially unknown multiplayer nonlinear systems.INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL.
MLA
Wu, Qiuye,et al."Firefly optimized neural network-based trajectory tracking control of partially unknown multiplayer nonlinear systems".INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL (2024).
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