Passivity Analysis of Discrete-Time Memristive Neural Networks with Time-Varying Delay
Wei Kang, Shouming Zhong · 2017
In this paper, the passivity problem is studied for discrete-time memristive neural networks with time-varying delay. By using the theories of set-valued map and difference inclusions, the system of discrete-time memristive neural network was changed to the conventional one. Then, by choosing a suitable Lyapunov-Krasovskii functional, some sufficient delay-dependent passivity conditions are established in the form of linear matrix inequalities (LMIs) which can be checked numerically. Finally, we provide a numerical example to illustrate the effectiveness of the proposed method.