Adaptive Control for Delayed Fractional-Order Fuzzy Cellular Neural Networks with Parameter Mismatch

This paper considers a kind of multiple delayed fractional-order fuzzy cellular neural networks, the parameters in this system is mismatched. By using Lyapunov functional method and inequality technique, the synchronization of studied neural networks is achieved under two kinds of adaptive controller. And the results in this study is effective which shows by a simulation example.