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Distributed Event Triggering Algorithm for Multi-Agent System over a Packet Dropping Network.

Ali Bemani1, Niclas Björsell1

  • 1Department of Electrical Engineering, Mathematics and Science, University of Gävle, 801 76 Gävle, Sweden.

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This study introduces a new distributed event-triggering algorithm for wireless networked control systems (WNCSs). It ensures stable multi-agent control performance even with significant data packet loss.

Keywords:
distributed event-based state estimationevent-based triggeringpacket dropwireless networked control system

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Area of Science:

  • Control Systems Engineering
  • Networked Systems
  • Distributed Systems

Background:

  • Wireless networked control systems (WNCSs) enable multi-agent system control over shared networks.
  • Event-triggering algorithms reduce network load but struggle with packet drop in industrial settings.
  • Existing methods lack robustness against packet loss, compromising control performance.

Purpose of the Study:

  • To design a distributed event-triggering algorithm for state feedback controllers in multi-agent systems.
  • To ensure robust control performance under random single packet drop scenarios.
  • To maintain satisfactory control even with a high probability of packet drops.

Main Methods:

  • Applied distributed event-based state estimation techniques.
  • Developed a novel event-triggering algorithm for multi-agent systems.
  • Simulated performance in a multi-agent application with packet drop imperfections.

Main Results:

  • The proposed algorithm maintains satisfactory control performance despite high packet drop rates.
  • Demonstrated significant reduction in network usage compared to time-triggered approaches.
  • Validated the algorithm's suitability for multi-agent feedback control in WNCSs.

Conclusions:

  • The distributed event-triggering algorithm is effective for multi-agent systems in WNCSs.
  • It offers a robust solution for environments with unreliable network communication.
  • The approach balances network efficiency with reliable control performance.