title: New synchronization criteria for complex delayed dynamical networks with sampled-data feedback control.
abstract: This paper investigates the synchronization problem for a class of complex delayed dynamical networks (CDDNs) by using sampled-data feedback control. First, an augmented Lyapunov-Krasovskii function (LKF) is constructed, which contains two new triple integral terms to reduce the conservativeness. Second, improved synchronization criteria are proposed by combining reciprocally convex technique with a novel class of integral inequalities, which can provide much tighter bounds than what the existing integral inequalities can produce. Third, the desired sampled-data controllers can be achieved by solving a set of linear matrix inequalities (LMIs). Finally, three numerical simulation examples are presented to demonstrate the effectiveness and advantages of the proposed results.
authors.affiliation: College of Management Science, Chengdu University of Technology, 610059, China.
authors.forename: Zhuo
authors.initials: Z
authors.lastname: Chen
authors.affiliation: School of Information Science and Engineering, Chengdu University, Chengdu, Sichuan 610106, P.R.China. Electronic address: skbs111@163.com.
authors.forename: Kaibo
authors.initials: K
authors.lastname: Shi
authors.affiliation: School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, PR China.
authors.forename: Shouming
authors.initials: S
authors.lastname: Zhong
keywords: Complex dynamical networks; Novel integral inequalities; Sampled-data control; Synchronization; Time-varying coupling delay