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Consensus of Time‐Varying Interval Uncertain Multiagent Systems via Reduced‐Order Neighborhood Interval Observer

Author

Listed:
  • Hui Luo
  • Jin Zhao
  • Quan Yin

Abstract

This work focuses on a multiagent system (MAS) with time‐varying interval uncertainty in the system matrix, where multiple agents interact through an undirected topology graph and only the bounding matrices on the uncertainty in the system matrix are known. A reduced‐order interval observer (IO), which is named the reduced‐order neighborhood interval observer (NIO), is designed to estimate the relative state of each agent and those of its neighbors. It is shown that the reduced‐order IO can guarantee the consensus of the uncertain multiagent system. Finally, simulation examples are proposed to verify the theoretical findings.

Suggested Citation

  • Hui Luo & Jin Zhao & Quan Yin, 2022. "Consensus of Time‐Varying Interval Uncertain Multiagent Systems via Reduced‐Order Neighborhood Interval Observer," Complexity, John Wiley & Sons, vol. 2022(1).
    • Handle: RePEc:wly:complx:v:2022:y:2022:i:1:n:5800097
    DOI: 10.1155/2022/5800097
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    References listed on IDEAS

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    1. Bo Liu & Qing An & Licheng Wu & Rong Li & Housheng Su & Yue Han, 2020. "Group Controllability of Discrete-Time Time-Delayed Multiagent Systems with Multiple Leaders," Complexity, Hindawi, vol. 2020, pages 1-10, June.
    2. Bo Liu & Licheng Wu & Rong Li & Housheng Su & Yue Han, 2020. "On the Group Controllability of Leader-Based Continuous-Time Multiagent Systems," Complexity, Hindawi, vol. 2020, pages 1-11, May.
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