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Consensus Robustness Margins of First-Order Agents over Undirected Graphs

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

Abstract

This article concerns robust consensus problems for continuous-time first-order multi-agent systems with respect to uncertain gain and phase of the agent's frequency response varying within certain ranges. We consider dynamic output feedback control protocol in the form of proportional–integral (PI) control. The agents can in general be nonminimum phase and unstable systems, which are interconnected by an undirected graph network. We seek to determine the largest ranges of gain and phase variations, referred to as the gain consensus margin (GCM) and the phase consensus margin (PCM), respectively, so that consensus can be achieved robustly by PI protocols within these ranges. Our main results consist of explicit analytical expressions of the GCM and PCM achievable by PI protocols, which demonstrate how the agent's unstable pole and nonminimum phase zero, as well as the network connectivity may confine the gain and phase variation ranges so that consensus can or cannot be maintained. © 2023 IEEE.
Original languageEnglish
Pages (from-to)3262-3269
Number of pages8
JournalIEEE Transactions on Automatic Control
Volume69
Issue number5
Online published3 Oct 2023
DOIs
Publication statusPublished - May 2024

Funding

This work was supported in part by the National Natural Science Foundation of China under Grants 62121004, 61906047, and 61973060, in part by the Hong Kong RGC under the project under Grants CityU 11203321 and CityU 11213322, and in part by the City University of Hong Kong under Grant 9380054. An earlier version of this paper was presented in part at the 2023 American Control Conference (ACC) [DOI: 10.23919/ACC55779.2023.10155788].

Research Keywords

  • gain consensus margin
  • multi-agent systems
  • Output feedback
  • output PI control protocol
  • Phase change materials
  • phase consensus margin
  • Poles and zeros
  • Protocols
  • Robustness
  • Robustness analysis
  • stability margin
  • Uncertainty
  • Gain consensus margin (GCM)
  • multi-agent systems (MASs)
  • phase consensus margin (PCM)
  • output proportional–integral (PI) control protocol

RGC Funding Information

  • RGC-funded

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