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Fuzzy adaptive robust backstepping stabilization for SISO nonlinear systems with unknown virtual control direction

Published: 01 December 2010 Publication History

Abstract

In this paper, a direct fuzzy adaptive robust control approach is proposed for a class of SISO nonlinear systems with completely unknown virtual control directions, unknown nonlinearities, unmodeled dynamics and dynamic disturbances. In the backstepping recursive design, fuzzy logic systems are employed to approximate the combined nonlinear uncertainties, a dynamic signal and Nussbaum gain technique are introduced into the control scheme to dominate the dynamic uncertainties and solve the unknown signs of virtual control directions, respectively. It is proved that the proposed robust fuzzy adaptive scheme can guarantee the all signals in the closed-loop system are semi-globally uniformly ultimately bounded. The effectiveness of the proposed approach is illustrated via three examples.

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        cover image Information Sciences: an International Journal
        Information Sciences: an International Journal  Volume 180, Issue 23
        December, 2010
        279 pages

        Publisher

        Elsevier Science Inc.

        United States

        Publication History

        Published: 01 December 2010

        Author Tags

        1. Backstepping
        2. Fuzzy adaptive control
        3. Nonlinear systems
        4. Stability
        5. Unknown control direction

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