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- W2771036202 abstract "This paper is focused on a new class of cellular neural networks with memristive, fuzzy logic, time-varying delays and general activation functions. The dynamic analysis in the paper employs results from the theory of differential equations with discontinuous right-hand side as introduced by Filippov. Some sufficient conditions in terms of algebraic criteria are presented such that the proposed system is global exponential stabilization. The model based on the memristor in this paper provide a wider scope for the design of neural networks. In addition, the results here are easy to verify and they complement the earlier publications. Finally, numerical simulations illustrate the effectiveness of the obtained results." @default.
- W2771036202 created "2017-12-04" @default.
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- W2771036202 date "2017-07-01" @default.
- W2771036202 modified "2023-09-24" @default.
- W2771036202 title "Exponential Stabilization for Delayed Memristive Fuzzy Cellular Neural Networks" @default.
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- W2771036202 doi "https://doi.org/10.1109/icisce.2017.209" @default.
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