Free-Weighting Matrix Approach for Event-Triggered Cooperative Control of Generic Linear Multi-agent Systems: An Application for UAVs

Ijaz Ahmed, Muhammad Rehan, Naeem Iqbal, Abdul Basit, Muhammad Khalid*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

This paper proposes a novel free-weighting matrix (FWM) approach for the event-triggered (ET) consensus and formation control of multi-agent systems over a directed graph. A new FWM equality for the consensus error is proposed. This FWM is applied to attain coherent behavior of systems via a fully distributed ET approach. The proposed approach is also extended for ET formation control to attain a specific pattern of agents. Furthermore, an FWM-based consensus controller design with practical ET cooperative control is considered to address consensus and formation control problems by using the in-degree information of a node rather than the algebraic connectivity of a graph or adaptation of parameters. Additionally, the controller gain is formulated using a more general transformation compared to that used in classical approaches. Moreover, the proposed ET scheme for the designed controller is applied on the transmission side to preserve computational resources by eliminating the Zeno behavior. In contrast to the existing methods, the proposed approach (i) provides a fully distributed protocol without using central information of network or adaptive gain; (ii) provides a practical ET mechanism to assure effective bandwidth and fewer energy consumption; and (iii) can be applied to the ET formation problem for mobile agents. Simulations involving six aerial vehicles are performed to demonstrate the efficacy of the proposed cooperative control strategy.

Original languageEnglish
Pages (from-to)6761-6772
Number of pages12
JournalArabian Journal for Science and Engineering
Volume49
Issue number5
DOIs
StatePublished - May 2024

Bibliographical note

Publisher Copyright:
© King Fahd University of Petroleum & Minerals 2023.

Keywords

  • Cooperative control
  • Event-triggering
  • Free-weighting matrix
  • Multi-agent systems
  • UAVs

ASJC Scopus subject areas

  • General

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