title: Structure Identification of Uncertain Complex Networks Based on Anticipatory Projective Synchronization.
abstract: This paper investigates a method to identify uncertain system parameters and unknown topological structure in general complex networks with or without time delay. A complex network, which has uncertain topology and unknown parameters, is designed as a drive network, and a known response complex network with an input controller is designed to identify the drive network. Under the proposed input controller, the drive network and the response network can achieve anticipatory projective synchronization when the system is steady. Lyapunov theorem and Barbǎlat's lemma guarantee the stability of synchronization manifold between two networks. When the synchronization is achieved, the system parameters and topology in response network can be changed to equal with the parameters and topology in drive network. A numerical example is given to show the effectiveness of the proposed method.
authors.affiliation: Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China.
authors.forename: Liu
authors.initials: L
authors.lastname: Heng
authors.affiliation: Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China.
authors.forename: Wang
authors.initials: W
authors.lastname: Xingyuan
authors.affiliation: Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China.
authors.forename: Tan
authors.initials: T
authors.lastname: Guozhen
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D016571:Neural Networks, Computer; D017711:Nonlinear Dynamics; D013598:Systems Theory; D013997:Time Factors; D035501:Uncertainty