Event-triggered multi-agent coordination in directed graphs: An intermittent control approach
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View abstract on PubMed
Summary
This summary is machine-generated.This study introduces an event-triggered intermittent control strategy for multi-agent systems, reducing communication load and preventing Zeno behavior. The asynchronous, aperiodic approach enhances coordination efficiency without strict control period constraints.
Area Of Science
- Robotics and Control Systems
- Networked Systems
- Distributed Computing
Background
- Multi-agent coordination is crucial for complex tasks.
- Existing intermittent control strategies often suffer from high communication burdens or conservatism.
- Event-triggered mechanisms offer potential for communication efficiency.
Purpose Of The Study
- To develop a communication-efficient event-triggered intermittent control strategy for multi-agent coordination.
- To ensure a minimum time interval between control events, preventing Zeno behavior.
- To reduce the conservatism associated with traditional intermittent control methods.
Main Methods
- Development of a novel event-triggering condition for intermittent control.
- Mathematical analysis to establish a minimum time interval between events.
- Asynchronous and aperiodic control signal updates.
- Validation through numerical simulations and physical experiments on a multi-UAV platform.
Main Results
- The proposed strategy significantly reduces communication frequency compared to traditional methods.
- Zeno behavior is effectively avoided through the minimum time interval guarantee.
- The asynchronous and aperiodic nature of the control strategy reduces conservatism.
- Successful demonstration of multi-UAV coordination using the developed strategy.
Conclusions
- The developed event-triggered intermittent control strategy is effective for multi-agent coordination.
- The approach offers significant communication efficiency and avoids Zeno behavior.
- The strategy's asynchronous and aperiodic nature makes it practical and less conservative for real-world applications.
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