Global Mittag-Leffler Stability of Fractional Hopfield Neural Networks with δ-Inverse Holder Neuron Activations

In this paper, the global Mittag-Leffler stability of fractional Hopfield neural networks (FHNNs) with delta-inverse holder neuron activation functions are considered. By applying the Brouwer topological degree theory and inequality analysis techniques, the proof of the existence and uniqueness of equilibrium point is addressed. By constructing the Lure's Postnikov-type Lyapunov functions, the global Mittag-Leffler stability conditions are achieved in terms of linear matrix inequalities (LMIs). Finally, three numerical examples are given to verify the validity of the theoretical results.