Stochastic convergence problems on switching networks: An event-triggered method

Mei Luo, JinRong Wang and Deyuan Meng

Chaos, Solitons & Fractals, 2023, vol. 170, issue C

Abstract: The paper investigates stochastic convergence problems of multi-agent systems with double-integrator dynamics. Based on the consideration of external interference and dynamic topology, a robust controller is proposed to avoid continuous communication between agents via time-dependent event-triggered protocol. The advantage of time-dependent event-triggered protocol is that its effectiveness does not decrease with the increase of the number of agents. Then, in the framework of fixed topology and Markov switching topologies, the convergence conditions are obtained respectively. In addition, singular triggering and Zeno phenomena are excluded. Finally, the effectiveness of the proposed theory is verified by numerical simulations.

Keywords: Stochastic convergence; Double-integrator dynamics; Event-triggered protocol; Switching topology; Singular triggering; Zeno phenomenon (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:170:y:2023:i:c:s0960077923003065

DOI: 10.1016/j.chaos.2023.113405

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