Distributed Leader-Following Optimal Control for Linear Multi-Agent Systems with Nonzero Leader's Control Input

Guan Huang, Zhuo Zhang, Weisheng Yan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper studies the distributed leader-following optimal control problem for multi-agent systems (MASs). In particular, a class of linear MASs with leader's bounded unknown control input is considered. We propose a dynamical sliding mode control protocol to address the presence of nonzero control input of leader. Meanwhile, we design a distributed optimal nominal control protocol to achieve leader-following consensus control of MASs. Under the nominal control protocol, the energy cost performance of the MASs can be optimized by solving the algebraic Riccati equation (ARE). Finally, a numerical simulation of multi spacecraft consensus tracking control example is provided to verify the effectiveness of the proposed algorithm.

Original languageEnglish
Title of host publication2022 12th International Conference on Information Science and Technology, ICIST 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages374-379
Number of pages6
ISBN (Electronic)9781665485821
DOIs
StatePublished - 2022
Event12th International Conference on Information Science and Technology, ICIST 2022 - Kaifeng, China
Duration: 14 Oct 202216 Oct 2022

Publication series

Name2022 12th International Conference on Information Science and Technology, ICIST 2022

Conference

Conference12th International Conference on Information Science and Technology, ICIST 2022
Country/TerritoryChina
CityKaifeng
Period14/10/2216/10/22

Keywords

  • algebraic Riccati equation
  • leader-following
  • multi-agent systems
  • optimal control
  • sliding mode control

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