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- W2359763721 abstract "Mittag-Leffler stability analysis of fractional-order neural networks with variable-time impulses is addressed in this paper. Several well-proposed conditions with theoretical demonstration ensuring that every solution of concerned models intersects each surface of the discontinuities exactly once are provided. Meanwhile, by applying B-equivalence method, the reduced fractional-order neural networks with fixed-time impulsive effects can be regarded as the comparison systems of the investigated original network models. Furthermore, a series of sufficient criteria illustrating the same stability properties between both variable-time impulsive fractional-order neural networks and the fixed-time alternative, and guaranteeing the stability of the considered models are presented. Finally, two simulation examples are presented to demonstrate the efficiency and feasibility of the achieved results." @default.
- W2359763721 created "2016-06-24" @default.
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- W2359763721 date "2016-09-01" @default.
- W2359763721 modified "2023-10-13" @default.
- W2359763721 title "Mittag–Leffler stability analysis on variable-time impulsive fractional-order neural networks" @default.
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- W2359763721 doi "https://doi.org/10.1016/j.neucom.2016.04.045" @default.
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