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

Publisher:
Elsevier
Publication Type:
Journal Article
Citation:
Fuzzy Sets and Systems, 2022
Issue Date:
2022-01-01
Full metadata record
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 synchronization 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).
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