Design of fuzzy controller via universal regulators for the incomplete information nonlinear systems

A fuzzy controller is proposed to improve the drawbacks of fuzzy modeling via universal regulators for the incomplete information on the parameters of the considered nonlinear systems. In general, in a fuzzy controller, for fuzzy modeling it is assumed that the information of nonlinear systems is complete in the consequent part of each rule. When the information is incomplete, it is difficult to design the fuzzy controller in fuzzy modeling. We propose a fuzzy modeling structure with unknown parameter. That is, the proposed structure can deal with incomplete information systems. Next, the universal regulator is used to design the fuzzy controller and stabilize the fuzzy modeling. It turns out that in such problems the optimal fuzzy regulator is unique. As a result, a special optimal fuzzy regulator can be found that does not depend on unknown parameters