In this paper, a fuzzy controller design problem is considered for nonlinear perturbed ship steering systems. The nonlinear perturbed ship steering system is transformed into a Takagi-Sugeno (T-S) fuzzy model, which has similar dynamics to the original nonlinear system. By using linear feedback controller design technology, a nonlinear fuzzy controller is developed for the perturbed T-S type ship steering model. Building on the nonlinear fuzzy controller, a number of most important performance constraints in fuzzy control systems are addressed. These include stability conditions, minimum control input energy, and individual state variance constraints. Finally, a numerical simulation is given to show the effects of the proposed fuzzy control methodology.


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    Title :

    Fuzzy control with input energy and state variance constraints for perturbed ship steering systems


    Contributors:


    Publication date :

    2006


    Size :

    11 Seiten, 27 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English





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