Non-fragile state estimation for delayed fractional-order memristive neural networks

The issue of non-fragile estimation for fractional-order memristive system is provided in this paper. By endowing the Lyapunov technique, the corresponding works that ensuring the globally asymptotic stability of the error model are presented, which can be calculated efficiently. In the end, the analytical methods are voiced by two simulations. (C) 2018 Elsevier Inc. All rights reserved.