%0 Journal Article
%T Linear matrix inequality approach for synchronization of chaotic fuzzy cellular neural networks with discrete and unbounded distributed delays based on sampled-data control
%J Iranian Journal of Fuzzy Systems
%I University of Sistan and Baluchestan
%Z 1735-0654
%A Balasubramaniam-pour, P.
%A Ratnavelu, K.
%A Kalpana, M.
%D 2015
%\ 10/30/2015
%V 12
%N 5
%P 77-98
%! Linear matrix inequality approach for synchronization of chaotic fuzzy cellular neural networks with discrete and unbounded distributed delays based on sampled-data control
%K Chaos
%K Fuzzy cellular neural networks
%K Linear matrix inequality
%K Sampled-data control
%K Synchronization
%R 10.22111/ijfs.2015.2112
%X 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.
%U https://ijfs.usb.ac.ir/article_2112_42c61297c52cf75dfbd00eb52c889040.pdf