Algorithm Research & Explore
|
204-208

Cooperative output regulation of finite time Q-learning for discrete multi-agents

Tang Jingyuan
Wei Wenjun
School of Automation & Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China

Abstract

This paper proposed an optimal control strategy based on Q-learning for output regulation of discrete multi-agent systems. For the output regulation of the traditional multi-agent system, obtaining the exact dynamics model of the system and solving the HJB equation based on this is the main obstacle. The strategy achieved global optimal control of each agent′s output without relying on the dynamic model of the system through local communication between agents. In order to optimize the system response rate, this paper proposed a new finite time local error formula, which not only ensures the original global optimal performance of the algorithm, but also reduced the output synchronization time by nearly 50%. It analyzed the stability of the proposed algorithm. The simulation results show that this strategy achieves the optimal control of the system without building the complex system model and solving the discrete HJB equation, and the updated finite time local error formula can effectively shorten the convergence time.

Foundation Support

光电技术与智能控制教育部重点实验室开放课题(KFKT2020-11)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.05.0227
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 1
Section: Algorithm Research & Explore
Pages: 204-208
Serial Number: 1001-3695(2023)01-033-0204-05

Publish History

[2022-07-27] Accepted Paper
[2023-01-05] Printed Article

Cite This Article

唐静远, 魏文军. 离散多智能体有限时间Q学习协同输出调节 [J]. 计算机应用研究, 2023, 40 (1): 204-208. (Tang Jingyuan, Wei Wenjun. Cooperative output regulation of finite time Q-learning for discrete multi-agents [J]. Application Research of Computers, 2023, 40 (1): 204-208. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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