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Finite-time Synchronization of Fractional-Order Neural Networks With Time-Varying Delays

机译:具有时变延迟的分数阶神经网络的有限时间同步

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This paper considers the finite-time synchronization of fractional-order neural networks with time-varying delays. Based on the properties of fractional-order calculus and Lyapunov direct method for fractional-order systems, sufficient criteria for realizing the finite-time synchronization of fractional-order neural networks with time-varying delays is given. The results are also applicable to the fractional-order neural networks without time delay and integer-order neural networks. Finally, two numerical examples are given to verify the validity of the results.
机译:本文考虑了分数阶神经网络的有限时间同步,具有时变延迟。 基于分数阶微积分和Lyapunov直接方法的分数阶系统的性能,给出了实现具有时变延迟的分数阶神经网络的有限时间同步的充分标准。 结果也适用于分数级神经网络,没有时间延迟和整数神经网络。 最后,给出了两个数值例子来验证结果的有效性。

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