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Output Feedback Adaptive Fuzzy Control for Uncertain Fractional-Order Nonlinear Switched System with Output Quantization by Tang, Xuening; Zhai, Ding; Fu, Zhumu; Wang, Huimin is a Computer Science article available to read on EtoBox.

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In this paper, a novel adaptive fuzzy controller is developed for the uncertain fractional-order switched nonlinear systems whose output is quantized by a class of sector-bounded quantizers. Since the states are not completely measurable, an observer with quantized output signal is designed to estimate the unknown system states. Meanwhile, based on the fractional Lyapunov stability criterion, the Lyapunov function with sum functions and the virtual control function with hyperbolic tangent functions are designed. Besides, in order to improve the approximation accuracy of the unknown nonlinear functions generated by fractional differential, the prediction errors and auxiliary variables of series-parallel estimation model are introduced in backstepping procedures. The simulation results show that the control scheme ensures that all the signals of the considered system remain semiglobally uniformly ultimately bounded, and the tracking error converges to a small neighborhood of the origin regardless of arbitrary switching.

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Author

Tang, Xuening; Zhai, Ding; Fu, Zhumu; Wang, Huimin

Publisher

Springer-Verlag; Springer International Publishing AG; Springer Science and Business Media LLC (ISSN 1562-2479)

Published

2020

Language

EN

Field

Computer Science (Physical Sciences)