Article ID Journal Published Year Pages File Type
5004292 ISA Transactions 2016 16 Pages PDF
Abstract

•A newly augmented Lyapunov-Krasovskii functional is constructed, which contains two new triple integral terms to reduce the conservativeness.•Less conservative synchronization criteria are obtained by combining reciprocally convex technique with a novel class of integral inequalities, which can provide more tighter bounds than what the existing inequalities produce.•The desired sampled-data controllers can be achieved by solving a set of linear matrix inequalities.

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.

Related Topics
Physical Sciences and Engineering Engineering Control and Systems Engineering
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