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Adaptive fuzzy sliding mode control based on linear matrix inequalities for nonlinear systems | IEEE Conference Publication | IEEE Xplore

Adaptive fuzzy sliding mode control based on linear matrix inequalities for nonlinear systems


Abstract:

In this paper, the performance improvement obtained from the Adaptive Fuzzy Sliding Mode Control (AFSMC) strategy for the Single Input Single Output (SISO) nonlinear syst...Show More

Abstract:

In this paper, the performance improvement obtained from the Adaptive Fuzzy Sliding Mode Control (AFSMC) strategy for the Single Input Single Output (SISO) nonlinear system, in which its plant model is modeled by an unknown nonlinear dynamic and a bounded perturbation, is shown. The main contribution of this paper is to solve the chattering problem of the standard Sliding Mode Control (SMC) strategy by using the fuzzy logic mechanism where its parameters are well self-tuned. The proposed control strategy ensures overall an asymptotic stability when all the signals involved are uniformly delimited. The inverted pendulum system, chosen as a realistic nonlinear case study, is controlled by the proposed control strategy and the performances obtained confirm the validity of the proposed idea.
Date of Conference: 28-31 March 2017
Date Added to IEEE Xplore: 07 December 2017
ISBN Information:
Electronic ISSN: 2474-0446
Conference Location: Marrakech, Morocco

References

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