A Lyapunov-Based Distri buted Framework for Complete and Phase Synchronization in Chaotic Multi-Agent Systems
This paper presents a distributed Lyapunov-based control framework for achieving both complete and phase synchronization in a class of leader-follower multi-agent systems composed of identical chaotic agents. The proposed approach introduces a novel nonlinear coupling mechanism and utilizes Lyapunov stability theory combined with matrix measure analysis to derive explicit synchronization conditions. In contrast to traditional LMI-based or adaptive methods, the present approach guarantees synchronization under limited topological information and reduced computational complexity. Three classical chaotic systems - Roessler, Lu, and Chen - are used to validate the theoretical results, confirming the superior convergence rate and robustness of the proposed scheme.