Hybrid Event-Triggered and Impulsive Control Strategy for Multiagent Systems With Switching Topologies

Area of Science:

• Control Theory
• Networked Systems
• Robotics

Background:

• Multiagent systems (MASs) face challenges in achieving consensus due to communication constraints and dynamic network topologies.
• Event-triggered and impulsive control strategies offer potential for reducing communication load but require careful design for stability.

Purpose of the Study:

• To develop and analyze a hybrid event-triggered and impulsive control strategy (HETICS) for leaderless and leader-following MASs with switching topologies.
• To reduce communication frequency while ensuring robust consensus.
• To prove the stability and absence of Zeno behavior in the proposed control strategy.

Main Methods:

• Design of a hybrid event-triggered and impulsive control strategy (HETICS).
• Application of the Lyapunov direct method to derive consensus criteria.
• Analysis of systems with switching topologies.
• Exclusion of Zeno behavior through theoretical analysis.

Main Results:

• The proposed HETICS effectively reduces communication frequency between neighboring agents.
• Consensus is achieved for both leaderless and leader-following MASs under switching topologies.
• The developed consensus criteria guarantee system stability.
• Zeno behavior is successfully excluded by the HETICS.

Conclusions:

• The HETICS provides an effective approach for achieving consensus in MASs with switching topologies.
• The strategy offers a practical solution for reducing communication overhead in networked systems.
• The findings are validated through numerical examples and simulations, demonstrating superiority over previous methods.