title: Topology identification of uncertain nonlinearly coupled complex networks with delays based on anticipatory synchronization.
abstract: This paper presents an adaptive anticipatory synchronization based method for simultaneous identification of topology and parameters of uncertain nonlinearly coupled complex dynamical networks with time delays. An adaptive controller is proposed, based on Lyapunov stability theorem and Barbǎlat's Lemma, to guarantee the stability of the anticipatory synchronization manifold between drive and response networks. Meanwhile, not only the identification criteria of network topology and system parameters are obtained but also the anticipatory time is identified. Numerical simulation results illustrate the effectiveness of the proposed method.
authors.affiliation: Tianjin Key Laboratory of Information Sensing & Intelligent Control, Tianjin University of Technology and Education, Tianjin 300222, People's Republic of China. yqche@tju.edu.cn
authors.forename: Yanqiu
authors.initials: Y
authors.lastname: Che
authors.forename: Ruixue
authors.initials: R
authors.lastname: Li
authors.forename: Chunxiao
authors.initials: C
authors.lastname: Han
authors.forename: Shigang
authors.initials: S
authors.lastname: Cui
authors.forename: Jiang
authors.initials: J
authors.lastname: Wang
authors.forename: Xile
authors.initials: X
authors.lastname: Wei
authors.forename: Bin
authors.initials: B
authors.lastname: Deng
mesh_terms: D000818:Animals; D003198:Computer Simulation; D006801:Humans; D008564:Membrane Potentials; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology; D017711:Nonlinear Dynamics; D009716:Numerical Analysis, Computer-Assisted; D011930:Reaction Time; D013569:Synapses / Q000502:physiology; D013598:Systems Theory; D013997:Time Factors