Adaptive fuzzy control with smooth inverse for nonlinear systems preceded by non-symmetric dead-zone |
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Authors: | Xingjian Wang Shaoping Wang |
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Affiliation: | School of Automation Science and Electrical Engineering, Beihang University, Beijing, China |
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Abstract: | In this study, the adaptive output feedback control problem of a class of nonlinear systems preceded by non-symmetric dead-zone is considered. To cope with the possible control signal chattering phenomenon which is caused by non-smooth dead-zone inverse, a new smooth inverse is proposed for non-symmetric dead-zone compensation. For the systematic design procedure of the adaptive fuzzy control algorithm, we combine the backstepping technique and small-gain approach. The Takagi–Sugeno fuzzy logic systems are used to approximate unknown system nonlinearities. The closed-loop stability is studied by using small gain theorem and the closed-loop system is proved to be semi-globally uniformly ultimately bounded. Simulation results indicate that, compared to the algorithm with the non-smooth inverse, the proposed control strategy can achieve better tracking performance and the chattering phenomenon can be avoided effectively. |
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Keywords: | dead-zone smooth inverse adaptive control fuzzy control nonlinear systems |
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