P. Balasubramaniam-pour - Department of Mathematics, Gandhigram Rural Institute - Deemed University, Gandhigram - ۶۲۴ ۳۰۲, Tamilnadu, India
K. Ratnavelu - Institute of Mathematical Sciences, Faculty of Science, University of Malaya - ۵۰۶۰۳, Kuala Lumpur, Malaysia
M. Kalpana - Institute of Mathematical Sciences, Faculty of Science, University of Malaya - ۵۰۶۰۳, Kuala Lumpur, Malaysia

In this paper, linear matrix inequality (LMI) approach for synchronization of chaotic fuzzy cellular neural networks (FCNNs) with discrete and unbounded distributed delays based on sampled-data controlis investigated. Lyapunov-Krasovskii functional combining with the input delay approach as well as the free-weighting matrix approach are employed to derive several sufficient criteria in terms of LMIs ensuring the delayed FCNNs to be asymptotically synchronous. The restriction such as the time-varying delay required to be differentiable or even its time-derivative assumed to be smaller than one, are removed. Instead, the time-varying delay is only assumed to be bounded. Finally, numerical examples and its simulations are provided to demonstrate the effectiveness of the derived results.

Chaos, Fuzzy cellular neural networks, Linear matrix inequality, Sampled-data control, Synchronization