Neural network synchronization of fractional-order chaotic systems subject to backlash nonlinearity
Abstract
This paper investigates the neural network (NN) synchronization controller design problem of fractional-order chaotic systems (FOCSs) subject to disturbances and backlash-like hysteresis input. First, we divide the backlash-like hysteresis input into two parts, one of which is the actual controller and the other that can be approximated by NNs. Then, an adaptive NN synchronization control input is implemented to drive the synchronization error...
Paper Details
Title
Neural network synchronization of fractional-order chaotic systems subject to backlash nonlinearity
Published Date
Jun 1, 2020
Journal
Volume
10
Issue
6
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