Finite-time synchronization of T-S fuzzy memristive neural networks with time delay

This paper focuses on the study of synchronization problem for T-S fuzzy memristive neural networks with time delay. First, a delay-independent nonlinear fuzzy control is designed. Second, under the designed fuzzy control, two kinds of finite-time synchro-nization criteria are obtained by comparison method and Lyapunov function method, respectively. Furthermore, the settling time is estimated. Finally, a numerical simulation example is provided to demonstrate the effectiveness and feasibility of the theoretical results, and an application of the obtained theories is also given in the pseudorandom number generator (PRNG).(c) 2022 Elsevier B.V. All rights reserved.

Automated summary

This paper focuses on the synchronization problem of T-S fuzzy memristive neural networks with time delay. A delay-independent nonlinear fuzzy control is designed, and two kinds of finite-time synchronization criteria are obtained under this control. The settling time is also estimated. A numerical simulation example is provided to demonstrate the effectiveness and feasibility of the theoretical results, and an application in the pseudorandom number generator is presented.