A distributed event-triggered algorithm for optimisation problem with a designable minimum inter-event time

Aiming at the optimization problem of multi-agent systems, a zero-gradient-sum optimization algorithm based on event-triggered control is designed to reduce the update frequency of controller and the communication burden between agents. Under the proposed distributed optimization algorithm, the stat...

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Veröffentlicht in:2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) S. 453 - 458
Hauptverfasser: Yang, Zhiqiang, Wei, Mengli, Ji, Qiutong, Zhao, Zhongyuan
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 19.11.2022
Schlagworte:
Automation
Behavioral sciences
Frequency control
Multi-agent systems
Optimization
Simulation
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Zusammenfassung:Aiming at the optimization problem of multi-agent systems, a zero-gradient-sum optimization algorithm based on event-triggered control is designed to reduce the update frequency of controller and the communication burden between agents. Under the proposed distributed optimization algorithm, the states of all agents asymptotically converge to the global optimal value without using any global information. In addition, Zeno behavior can be avoided, and the minimum inter-event time can be designed. Simulation results verify the effectiveness of the proposed algorithm.
DOI:10.1109/YAC57282.2022.10023574