LINEAR MATRIX INEQUALITY APPROACH FOR SYNCHRONIZATION OF CHAOTIC FUZZY CELLULAR NEURAL NETWORKS WITH DISCRETE AND UNBOUNDED DISTRIBUTED DELAYS BASED ON SAMPLED-DATA CONTROL

作者：Balasubramaniam P^*; Ratnavelu K; Kalpana M

来源：Iranian Journal of Fuzzy Systems, 2015, 12(5): 77-98.

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

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 control is 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.

• 出版日期2015-10