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- W2511716481 abstract "In this paper, we consider the control problem of a class of uncertain fractional-order chaotic systems preceded by unknown backlash-like hysteresis nonlinearities based on backstepping control algorithm. We model the hysteresis by using a differential equation. Based on the fractional Lyapunov stability criterion and the backstepping algorithm procedures, an adaptive neural network controller is driven. No knowledge of the upper bound of the disturbance and system uncertainty is required in our controller, and the asymptotical convergence of the tracking error can be guaranteed. Finally, we give two simulation examples to confirm our theoretical results." @default.
- W2511716481 created "2016-09-16" @default.
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- W2511716481 date "2016-08-01" @default.
- W2511716481 modified "2023-10-16" @default.
- W2511716481 title "Adaptive neural network backstepping control for a class of uncertain fractional-order chaotic systems with unknown backlash-like hysteresis" @default.
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- W2511716481 doi "https://doi.org/10.1063/1.4960110" @default.
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