title: Exponential stability of synchronization in asymmetrically coupled dynamical networks.
abstract: Based on the original definition of the synchronization stability, a general framework is presented for investigating the exponential stability of synchronization in asymmetrically coupled networks. By choosing an appropriate Lyapunov function, we prove that the mechanism of the exponential synchronization stability is the asymmetrical coupling matrix with diffusive condition. We deduce the second largest eigenvalue of a symmetric matrix to govern the exponential stability of synchronization in asymmetrically coupled networks. Moreover, we have given the threshold value which can guarantee that the states of the asymmetrically coupled network achieve the exponential stability of synchronization.
authors.affiliation: Department of Automatic Control Engineering, Xidian University, P.O. Box 136, Xi'an 710071, China. zhli@xidian.edu.cn
authors.forename: Zhi
authors.initials: Z
authors.lastname: Li
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D008959:Models, Neurological; D015233:Models, Statistical; D009415:Nerve Net; D016571:Neural Networks, Computer; D017711:Nonlinear Dynamics; D010363:Pattern Recognition, Automated; D010825:Physics / Q000379:methods; D012815:Signal Processing, Computer-Assisted; D013598:Systems Theory