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The HoneyComb Paradigm for Research on Collective Human Behavior
Published on: January 19, 2019
Distributed Dynamic Event-Triggered Control to Leader-Following Consensus of Nonlinear Multi-Agent Systems with
Jia-Cheng Guan1,2, Hong-Wei Ren1, Guo-Liang Tan1,3
1College of Automation, Guangdong University of Petrochemical Technology, Maoming 525000, China.
This study introduces a dynamic event-triggered strategy for nonlinear multi-agent systems to achieve leader-following consensus efficiently. The method ensures fast synchronization while preventing Zeno behavior, optimizing communication resources.
Area of Science:
- Control Engineering
- Systems Science
- Applied Mathematics
Background:
- Achieving consensus in multi-agent systems (MAS) is crucial for coordinated behavior.
- Nonlinear dynamics in MAS present significant control challenges.
- Efficient communication strategies are needed to manage system resources.
Purpose of the Study:
- To develop a dynamic event-triggered control strategy for leader-following consensus in nonlinear MAS.
- To ensure exponential convergence speed for synchronization.
- To eliminate Zeno behavior while minimizing communication load.
Main Methods:
- A novel dynamic event-triggered mechanism was designed.
- A distributed control strategy was implemented using this mechanism.
- Theoretical analysis confirmed the elimination of Zeno behavior.
Main Results:
- The proposed strategy achieves leader-following consensus with exponential convergence.
- The dynamic event-triggered approach significantly reduces communication frequency.
- Zeno behavior is provably avoided, ensuring practical implementation.
Conclusions:
- The dynamic event-triggered strategy is effective for achieving consensus in nonlinear MAS.
- This approach offers a practical solution for resource-constrained systems.
- Simulation results validate the theoretical findings.
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