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Stochastic distributed tracking of heterogeneous multi-agent systems with Markovian switching topologies and infinite delays

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Abstract

This article investigates the distributed mean square output tracking problem of heterogeneous multi-agent systems with Markovian switching topologies and infinite transmission delays. The main challenge of the concerned problem arises from how to deal with Markovian switching topologies and infinite transmission delays simultaneously. A novel distributed observer is developed based on a newly proposed Lyapunov functional method. Then, a distributed controller based on the distributed observer is developed. It is shown that the stochastic distributed tracking problem is solved in the sense of mean square if the union graph of the underlying Markovian switching topology contains a spanning tree. A distinctive feature of the proposed controller is that the infinite delays are not required to be known. Finally, the effectiveness of the proposed controller is illustrated by two numerical examples. © 2024 The Author(s). International Journal of Robust and Nonlinear Control published by John Wiley & Sons Ltd.
Original languageEnglish
Pages (from-to)324-342
JournalInternational Journal of Robust and Nonlinear Control
Volume35
Issue number1
Online published3 Oct 2024
DOIs
Publication statusPublished - 10 Jan 2025

Research Keywords

  • infinite delays
  • Lyapunov method
  • Markovian switching topologies
  • multi-agent systems
  • output tracking

Publisher's Copyright Statement

  • This full text is made available under CC-BY-NC-ND 4.0. https://creativecommons.org/licenses/by-nc-nd/4.0/

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