Finite time Convergence of Pinning Synchronization with Linear and Nonlinear Controllers
Wenlian Lu, Xiwei Liu, Tianping Chen

TL;DR
This paper introduces models for achieving finite-time synchronization in complex networks, including directed and heterogeneous networks, by revealing the underlying convergence mechanisms.
Contribution
It presents novel models that enable finite-time synchronization in directed and heterogeneous networks, expanding beyond symmetric coupling assumptions.
Findings
Finite-time convergence achieved in various network models
Applicable to directed and heterogeneous networks
Mechanism of convergence is elucidated
Abstract
In this paper, we propose several models, which can realize synchronization of complex networks in finite time effectively. The results apply to heterogeneous dynamic networks, too. The mechanism of finite time convergence is revealed. Different from many models, which assume the coupling matrix being symmetric (or the connecting graph is undirected), here, the coupling matrix is asymmetric (or the connecting graph is directed).
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Taxonomy
TopicsNeural Networks Stability and Synchronization · Nonlinear Dynamics and Pattern Formation · Distributed Control Multi-Agent Systems
