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Algorithm Research & Explore
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2737-2740

Adaptive learning consensus algorithm for multi-agent systems with actuator saturations

Yang Nana
Meng Xinyou
Wang Xuan
School of Science, Lanzhou University of Technology, Lanzhou 730050, China

Abstract

To settle the exact consensus problem of a class of multi-agent systems subjected to actuator saturations on a finite time interval [0, T], this paper utilized the adaptive iterative learning control scheme to design the time-varying gains with fully saturated difference adaptive updating laws. By constructing a proper composite energy function, it was proved strictly that the vectors of consensus error tended to zero as the iteration number approaches to infinity, and obtained the adaptive learning consensus algorithm without dependence on eigenvalues of the communication topology matrix. Finally, the result of a given simulation example illustrates the effectiveness of the proposed algorithm.

Foundation Support

甘肃省教育厅创新基金资助项目(2021A-025)
国家自然科学基金地区资助项目(11661050,12064024)
兰州理工大学红流一级学科建设项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.01.0008
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 9
Section: Algorithm Research & Explore
Pages: 2737-2740
Serial Number: 1001-3695(2021)09-032-2737-04

Publish History

[2021-09-05] Printed Article

Cite This Article

杨娜娜, 孟新友, 王璇. 执行器饱和多智能体系统的自适应学习一致性算法 [J]. 计算机应用研究, 2021, 38 (9): 2737-2740. (Yang Nana, Meng Xinyou, Wang Xuan. Adaptive learning consensus algorithm for multi-agent systems with actuator saturations [J]. Application Research of Computers, 2021, 38 (9): 2737-2740. )

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.

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