Convergence behavior of high-order fuzzy cellular neural networks with time-varying delays

In this paper, the convergence behaviors are considered for a class of high-order fuzzy cellular neural networks with time-varying delays.Some sufficient conditions are established to ensure that all solutions of the networks converge to zero point. Compared with some earlier works, the new criteria do not require the Lipschitz continuous condition on activation functions and the differentiability of variable delays. Finally, an example with numerical simulation is given to show the effectiveness of the proposed method and results.