For a class of nonlinear systems with uncertainty, an observer-based robust direct adaptive fuzzy control scheme was proposed. In the case that the states of the system are not available· an observer is designed and an observer-based robust adaptive fuzzy control scheme that the generalized fuzzy hyperbolic model (GFHM) is employed to structure a fuzzy controller is developed. The overall control scheme can guarantee that the tracking error converges in the small neighborhood of origin, and all signals of the closed-loop system are uniformly bounded. A simulation example was proposed to demonstrate the effective of the proposed control algorithm.


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    Title :

    Observer-based robust direct adaptive fuzzy control


    Contributors:
    Mingjun, Zhang (author) / Cheng, Shao (author) / Shikuan, Li (author)


    Publication date :

    2013-07-01


    Size :

    414634 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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