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Summary
This summary is machine-generated.

This study presents a new distributed control method for stochastic multi-agent systems to achieve consensus tracking. The approach ensures followers reliably follow the leader

Keywords:
Control Lyapunov functionDistributed observerStochastic systemsTracking control

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Area of Science:

  • Control Theory
  • Systems Engineering
  • Robotics

Background:

  • Consensus tracking is crucial for coordinated behavior in multi-agent systems.
  • Stochastic disturbances pose significant challenges to achieving reliable consensus.
  • Leader-follower structures are common in applications requiring synchronized actions.

Purpose of the Study:

  • To develop a distributed control strategy for consensus tracking in stochastic leader-follower multi-agent systems.
  • To ensure follower agents can accurately track the leader's state expectation under uncertainty.
  • To enable fully distributed control through local state and leader information observation.

Main Methods:

  • An observer-based distributed control approach is proposed.
  • Control Lyapunov functions and quadratic programming are utilized for controller design.
  • Two observers per follower are implemented for self-state and leader-state estimation.

Main Results:

  • The proposed control method guarantees consensus tracking in expectation for all followers.
  • The distributed nature of the observers ensures scalability and robustness.
  • Simulation results demonstrate the effectiveness of the approach in achieving synchronization.

Conclusions:

  • The observer-based distributed control is effective for stochastic multi-agent consensus tracking.
  • The theoretical framework guarantees convergence and reliable performance.
  • This approach offers a robust solution for coordinated control in uncertain environments.