Velocity synchronization of multi-agent systems with mismatched parameters via sampled position data
Wen Sun1, Chunli Huang1, Jinhu Lü2
1School of Information and Mathematics, Yangtze University, Jingzhou 434023, People's Republic of China.
Chaos (Woodbury, N.Y.)
|March 3, 2016
Summary
This study achieves velocity synchronization in complex multi-agent systems with mismatched parameters using sampled data. Appropriate sampling periods ensure synchronization, even with communication delays.
Area of Science:
- Control Theory
- Complex Systems
- Networked Systems
Background:
- Power systems are complex multi-agent systems with symmetric structures and nonlinear coupling.
- This research extends these concepts to systems with linear coupling, asymmetric structures, and mismatched parameters.
Purpose of the Study:
- To investigate velocity synchronization in a generalized class of multi-agent systems using sampled position data.
- To develop robust consensus protocols for systems with parameter uncertainties and potential communication delays.
Main Methods:
- Designed two distributed linear consensus protocols for multi-agent systems: one without communication delay and one with delay.
- Established necessary and sufficient conditions for velocity synchronization based on system parameters, sampling period, and network topology (Laplacian eigenvalues).
Main Results:
- Velocity synchronization is achievable in multi-agent systems with mismatched parameters and asymmetric structures.
- The effectiveness of the proposed protocols and conditions was validated through simulations, demonstrating successful synchronization.
Conclusions:
- Appropriate selection of the sampling period is crucial for achieving velocity synchronization in these complex systems.
- The developed theoretical framework and protocols offer a viable approach for controlling and synchronizing advanced multi-agent systems.
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