Switching-Jumps-Dependent Quasi-Synchronization Criteria for Fractional-Order Memrisive Neural Networks

This paper investigates the switching-jumps-dependent quasi-synchronization issue for fractional-order memristive neural networks (FMNNs). First, a simplied linear feedback controller is applied. Then, in terms of several fractional order differential inequalities and two kinds Lyapunov functions, criteria expressed by matrix inequality (LMI)-based form algebraic are established, respectively. Meanwhile, co-designed scheme error bound control gain established. Compared with previous results, strong assumption that system states must be bounded removed. Finally, some simulation examples carried out to display feasibility validity proposed analysis methods.