On Synchronization of Dynamical Systems over Directed Switching Topologies: An Algebraic and Geometric Perspective
Jiahu Qin, Qichao Ma, Xinghuo Yu, and Long Wang

TL;DR
This paper introduces a unified algebraic and geometric framework for analyzing the synchronization of linear and Lipschitz nonlinear dynamical systems over directed switching networks, providing new conditions for synchronization.
Contribution
It develops a novel analysis approach that characterizes the synchronization manifold and offers unified convergence criteria for both linear and nonlinear systems under directed switching topologies.
Findings
Synchronization achieved under joint connectivity and specific system conditions.
Linear systems synchronize if an easily verifiable condition is met.
Nonlinear systems synchronize with sufficient coupling strength.
Abstract
In this paper, we aim to investigate the synchronization problem of dynamical systems, which can be of generic linear or Lipschitz nonlinear type, communicating over directed switching network topologies. A mild connectivity assumption on the switching topologies is imposed, which allows them to be directed and jointly connected. We propose a novel analysis framework from both algebraic and geometric perspectives to justify the attractiveness of the synchronization manifold. Specifically, it is proven that the complementary space of the synchronization manifold can be spanned by certain subspaces. These subspaces can be the eigenspaces of the nonzero eigenvalues of Laplacian matrices in linear case. They can also be subspaces in which the projection of the nonlinear self-dynamics still retains the Lipschitz property. This allows to project the states of the dynamical systems into these…
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Taxonomy
TopicsNonlinear Dynamics and Pattern Formation · Neural Networks Stability and Synchronization · Distributed Control Multi-Agent Systems
