Synchronization Analysis of Fractional-Order Neural Networks With Adaptive Intermittent-Active Control

Synchronization Analysis of Fractional-Order Neural Networks With Adaptive Intermittent-Active Control

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This paper concentrates on the study of adaptive control for the synchronization of fractional-order neural networks.Instead of classical adaptive control updating method, an intermittent-active updating strategy is hyfrodol proposed to adaptively tune the control gain in a fractional-order fashion.Moreover, quantization is brought into the control design to take into account the restricted bandwidth in signal transmission.

Note that the suggested elbeco adu ripstop pants controller is basic yet effective in terms of the fractional-order system.The main theorem is established with the method of reduction to absurdity as well as Lyapunov stability theorem.Finally, simulation calculation is conducted to validate the effectiveness of our proposed method.