Data-sampled time-varying formation for singular multi-agent systems with multiple leaders.

Journal: Neural networks : the official journal of the International Neural Network Society
Published Date: Oct 31, 2024

Abstract

The time-varying formation problem of singular multi-agent systems under sampled data with multiple leaders is investigated in this paper. Firstly, a data-sampled time-varying formation control protocol is proposed in the current study where the communication among followers merely occurred at sampling instants, which can save the controller communication energy significantly. Secondly, necessary and sufficient conditions for the feasibility of the formation function are provided. In addition, an approach is presented to design the formation tracking control under sampled data with multiple leaders. Finally, numerical simulations validate the efficacy of the theoretical results.

Authors

  • Fenglan Sun
    Key Lab of Intelligent Analysis and Decision on Complex Systems, School of Science, Chongqing University of Posts and Telecommunications, Chongqing, 400065, PR China; Key Lab of Intelligent Air-Ground Cooperative Control for Universities in Chongqing, College of Automation, Chongqing University of Posts and Telecommunications, Chongqing, 400065, PR China; Department of Complexity Science, Potsdam Institute for Climate Impact Research, Potsdam, 14473, Germany. Electronic address: sunfl@cqupt.edu.cn.
  • Xuemei Yu
    Key Lab of Intelligent Analysis and Decision on Complex Systems, School of Science, Chongqing University of Posts and Telecommunications, Chongqing, 400065, PR China.
  • Wei Zhu
    The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou University of Chinese Medicine Guangzhou 510120 China zhuwei9201@163.com.
  • Jürgen Kurths
    Department of Physics, Nonlinear Dynamics, Cardiovascular Physics, Humboldt-Universität zu Berlin, Germany Potsdam Institute for Climate Impact Research, Germany Institute for Complex Systems and Mathematical Biology, University of Aberdeen, UK.

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