Linear matrix inequality approach for synchronization control of fuzzy cellular neural networks with mixed time delays
作者： P. Balasubramaniam , M. Kalpana , R. Rakkiyappan
DOI: 10.1088/1674-1056/21/4/048402
关键词:
摘要: Fuzzy cellular neural networks (FCNNs) are special kinds of (CNNs). Each cell in an FCNN contains fuzzy operating abilities. The entire network is governed by computing laws. design FCNNs based on local rules. In this paper, a linear matrix inequality (LMI) approach for synchronization control with mixed delays investigated. Mixed include discrete time-varying and unbounded distributed delays. A dynamic scheme proposed to achieve the between drive response network. By constructing Lyapunov—Krasovskii functional which triple-integral term free-weighting matrices method improved delay-dependent stability criterion derived terms LMIs. controller can be easily obtained solving numerical example its simulations presented illustrate effectiveness method.
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