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- W3048200084 abstract "This article focuses on the global Mittag-Leffler boundedness for fractional-order fuzzy quaternion-valued neural networks (QVNNs) with linear threshold neurons. In order to avert the nonexchangeability for quaternion multiplication, the considered QVNN is separated into four real-valued or two complex-valued systems. By employing Lyapunov function method and fractional-order differential inequalities, several effective conditions according to algebraic inequality and complex-valued linear matrix inequalities are deduced to guarantee the global Mittag-Leffler boundedness of the addressed network. And, the frame of the global Mittag-Leffler attracting sets is presented as well. Here, the numbers of the equilibrium points need not to be concerned. Finally, a numerical example is provided to demonstrate the correctness of the proposed results." @default.
- W3048200084 created "2020-08-13" @default.
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- W3048200084 date "2021-10-01" @default.
- W3048200084 modified "2023-10-02" @default.
- W3048200084 title "Global Mittag-Leffler Boundedness of Fractional-Order Fuzzy Quaternion-Valued Neural Networks With Linear Threshold Neurons" @default.
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- W3048200084 doi "https://doi.org/10.1109/tfuzz.2020.3014659" @default.
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