Dynamic event-triggered mechanism for practical bipartite tracking consensus of uncertain high-order multi-agent systems under signed switching topologies

  • 0School of Mathematical Sciences, Key Laboratory of Intelligent Computing and Applications (Ministry of Education), Tongji University, Shanghai 200092, China.

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Summary

This summary is machine-generated.

This study achieves practical bipartite tracking consensus in uncertain nonlinear multi-agent systems. A novel dynamic event-triggered controller and extended state observer (ESO) address input saturation and time-varying delays.

Area Of Science

  • Control Systems Engineering
  • Networked Systems
  • Nonlinear Dynamics

Background

  • Multi-agent systems (MAS) face challenges like input saturation and time-varying delays.
  • Achieving consensus in systems with complex dynamics and switching topologies is difficult.
  • Event-triggered control strategies aim to reduce communication and computation load.

Purpose Of The Study

  • To develop a control strategy for practical bipartite tracking consensus in uncertain nonlinear high-order MAS.
  • To simultaneously address input saturation and time-varying input delay.
  • To exclude Zeno behavior in the event-triggered control system.

Main Methods

  • An auxiliary system was designed to handle input saturation and time-varying delays.
  • A dynamic event-triggered extended state observer (ESO) was developed for state and disturbance estimation.
  • Command filtered backstepping combined with ESO states formed the dynamic event-triggered controller.

Main Results

  • Practical bipartite tracking consensus was guaranteed under the proposed control strategy.
  • The dynamic event-triggered approach successfully excluded Zeno behavior.
  • The controller's effectiveness was validated through a numerical example.

Conclusions

  • The proposed method effectively achieves practical bipartite tracking consensus for uncertain nonlinear high-order MAS.
  • The dynamic event-triggered ESO and controller provide a robust solution for systems with input saturation and time-varying delays.
  • The approach offers a practical and efficient way to manage complex multi-agent systems.

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