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Polynomial Lyapunov Functions for Consensus of Multi-agent Systems via PD control

  • Beihang University
  • Beijing Normal-Hong Kong Baptist University

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

Abstract

This paper investigates the consensus problem of multi-agent systems under the proportional-derivative (PD) control protocol. It devises an automatic search algorithm for the polynomial Lyapunov functions beyond the conventional quadratic form. With a relaxation of Lipschitz-like condition, a criterion is established for consensus of multi-agent systems via the PD control. Then, the relaxed nonnegativity conditions can be transformed into the sum-of-squares conditions for polynomial systems. And the polynomial Lyapunov functions are then obtained by solving the sum-of-squares optimization problem within the convex programming framework, which can be addressed efficiently in polynomial time. Finally, a numerical example is presented to verify the effectiveness of the proposed algorithm.

Original languageEnglish
Title of host publication10th International Conference on Control, Automation and Information Sciences, ICCAIS 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages153-158
Number of pages6
ISBN (Electronic)9781665440295
DOIs
StatePublished - 2021
Event10th International Conference on Control, Automation and Information Sciences, ICCAIS 2021 - Xi'an, China
Duration: 14 Oct 202117 Oct 2021

Publication series

Name10th International Conference on Control, Automation and Information Sciences, ICCAIS 2021 - Proceedings

Conference

Conference10th International Conference on Control, Automation and Information Sciences, ICCAIS 2021
Country/TerritoryChina
CityXi'an
Period14/10/2117/10/21

Keywords

  • Multi-agent systems
  • PD control
  • Polynomial Lyapunov functions
  • Sum-of-squares

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