Synchronization, Consensus of Complex Networks and Lyapunov Function Approach
Tianping Chen

TL;DR
This paper explores the relationship between synchronization and consensus in complex networks, emphasizing the importance of the QUAD condition and providing a unified Lyapunov function approach to derive existing results.
Contribution
It introduces a Lyapunov function framework that unifies the analysis of synchronization and consensus, highlighting the role of the QUAD condition in complex networks.
Findings
Unified Lyapunov approach for synchronization and consensus
The QUAD condition is crucial for analyzing complex networks
Existing results can be derived from the proposed framework
Abstract
In this paper, we focus on the topic Synchronization and consensus of Complex Networks and their relationships. It is revealed that two topics are closely relating to each other and all results given in \cite{Li1,Li2} and many other papers can be obtained by the results in \cite{Chen1,Chen2}. It is pointed out that QUAD condition plays important role in discussing synchronization and consensus.
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Taxonomy
TopicsNeural Networks Stability and Synchronization · Distributed Control Multi-Agent Systems · Nonlinear Dynamics and Pattern Formation
