@inproceedings{3ec1bf0dd23042328c2b7f5fd325fd57,
title = "Event-Triggered Control for Multi-Agent Systems under Markov Switching Topologies",
abstract = "This paper introduces an event-Triggered control method for nonlinear multi-Agent systems under Markov switching topologies to enhance system robustness. The approach synthesizes radial basis function neural networks and disturbance observers. Based on the average dwell time method and stochastic stability theory for switching systems, an adaptive triggering threshold is developed to effectively balance communication efficiency and control performance. Theoretical analysis rigorously proves the convergence of the system and the absence of Zeno behavior, while numerical simulations confirm the practical effectiveness of the proposed method.",
keywords = "consensus, multi-Agent systems, switching topologies",
author = "Yani Zhang and Yongkang Wang and Hui Xu and Rongxin Cui and Xinxin Guo",
note = "Publisher Copyright: {\textcopyright} 2026 IEEE.; 2026 International Conference on Robotics, Automation and Intelligent Transportation Systems, RAITS 2026 ; Conference date: 23-01-2026 Through 25-01-2026",
year = "2026",
doi = "10.1109/RAITS68656.2026.11580238",
language = "英语",
series = "Proceedings - 2026 International Conference on Robotics, Automation and Intelligent Transportation Systems, RAITS 2026",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings - 2026 International Conference on Robotics, Automation and Intelligent Transportation Systems, RAITS 2026",
}