2023/05/09 by Hildeberto Jardón-Kojakhmetov, Christian Kuehn, Jardón-Kojakhmetov, Hildeberto +3
Computer Science · Physics and Astronomy · #Nonlinear Dynamics and Pattern Formation #Neural Networks Stability and Synchronization #Opinion Dynamics and Social Influence
paper · pdf · doi:10.48550/arxiv.2305.05747
We study synchronization for linearly coupled temporal networks of heterogeneous time-dependent nonlinear agents via the convergence of attracting trajectories of each node. The results are obtained by constructing and studying the stability of a suitable linear nonautonomous problem bounding the evolution of the synchronization errors. Both, the case of the entire network and only a cluster, are addressed and the persistence of the obtained synchronization against perturbation is also discussed. Furthermore, a sufficient condition for the existence of attracting trajectories of each node is given. In all cases, the considered dependence on time requires only local integrability, which is a very mild regularity assumption. Moreover, our results mainly depend on the network structure and its properties, and achieve synchronization up to a constant in finite time. Hence they are quite suitable for applications. The applicability of the results is showcased via several examples: coupled van-der-Pol/FitzHugh-Nagumo oscillators, weighted/signed opinion dynamics, and coupled Lorenz systems.