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Iterative Learning Consensus Control for Multi-agent Systems with Fractional Order Distributed Parameter Models

  • Yong-Hong Lan
  • Jun-Jun Xia
  • Ya-Ping Xia
  • Peng LiEmail author
Article
  • 16 Downloads

Abstract

This paper concerns about the iterative learning consensus control scheme for a class of multi-agent systems (MAS) with distributed parameter models. First, based on the framework of network topologies, a second-order iterative learning control (ILC) protocol is proposed by using the nearest neighbor knowledge. Next, a discrete system for ILC is established and the consensus control problem is then converted to a stability problem for such a discrete system. Furthermore, by using generalized Gronwall inequality, a sufficient condition for the convergence of the consensus errors between any two agents is obtained. Finally, the validity of the proposed method is verified by two numerical examples.

Keywords

Distributed parameter system fractional order iterative learning control multi-agent systems 

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Copyright information

© ICROS, KIEE and Springer 2019

Authors and Affiliations

  • Yong-Hong Lan
    • 1
  • Jun-Jun Xia
    • 1
  • Ya-Ping Xia
    • 1
  • Peng Li
    • 1
    Email author
  1. 1.School of Information EngineeringXiangtan UniversityXiangtan, HunanP. R. China

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