Fuzzy control with input energy and state variance constraints for perturbed ship steering systems
by Wen-Jer Chang, Sheng-Ming Wu
International Journal of Computer Applications in Technology (IJCAT), Vol. 27, No. 2/3, 2006

Abstract: 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.

Online publication date: Thu, 19-Oct-2006

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