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Consensus Tracking Control of Switched Stochastic Nonlinear Multiagent Systems via Event-Triggered Strategy
Summary
This study introduces a new event-triggered control strategy for stochastic nonlinear multiagent systems. The proposed method ensures follower agents track leader signals without Zeno behavior, improving system stability.
Area of Science:
- Control Systems Engineering
- Nonlinear Dynamics
- Stochastic Processes
Background:
- Consensus tracking is crucial for multiagent systems.
- Existing event-triggered protocols struggle to prevent Zeno behavior in continuous stochastic systems.
Purpose of the Study:
- To investigate consensus tracking for switched stochastic nonlinear multiagent systems.
- To propose a novel event-triggered control protocol to avoid Zeno behavior.
Main Methods:
- Development of a new event-triggered protocol design framework.
- Mathematical analysis to prove system convergence and stability.
- Simulation using two numerical examples.
Main Results:
- Follower agents achieve almost sure consensus tracking of the leader signal.
- Bounded errors are maintained throughout the tracking process.
- The proposed scheme effectively prevents Zeno behavior in all agents.
Conclusions:
- The new protocol design framework is effective for consensus tracking in complex systems.
- The method offers advantages over existing techniques by eliminating Zeno behavior.
- Demonstrated effectiveness through numerical simulations.
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