Article ID Journal Published Year Pages File Type
406234 Neurocomputing 2015 8 Pages PDF
Abstract

In this paper, the problem of globally synchronization is investigated for an array of N linearly coupled singular complex networks with Markovian jump and mixed time-delays. The complex network systems consist of m modes and the systems switch from one mode to another according to a Markovian chain with known transition probability. The time delays include discrete delays and distributed delays. The singular matrices in the consider systems are mode-dependent. By utilizing the Lyapunov–Krasovskii stability theory, linear matrix inequality (LMI) approach, stochastic analysis techniques and Kronecker product, some sufficient globally synchronization criteria are obtained. Several numerical examples are given to illustrate the feasibility and effectiveness of the proposed methods.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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