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- W2910369828 endingPage "2780" @default.
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- W2910369828 abstract "In this paper, we are concerned with global stabilization for a kind of delayed memristive neural network with an inertial term. By building a new Lyapunov functional and designing a feedback controller, we obtain some new results on global stabilization of the addressed delayed memristive inertial neural networks (MINNs). An adaptive control strategy is also designed to realize the global stabilization. Compared with the reduced-order method used in the existing literature, we consider the stabilization directly from the MINNs themselves without a reduced-order method. In addition, the new results proposed here are shown as algebraic criteria, which are easy to test. At last, some simulations are given to show the validity of the derived criteria." @default.
- W2910369828 created "2019-01-25" @default.
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- W2910369828 date "2020-06-01" @default.
- W2910369828 modified "2023-10-18" @default.
- W2910369828 title "New Criteria on Global Stabilization of Delayed Memristive Neural Networks With Inertial Item" @default.
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- W2910369828 doi "https://doi.org/10.1109/tcyb.2018.2889653" @default.
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