Science & Engineering Research Support soCiety (SERSC)
Rule base is one of the important key factors in design of fuzzy controller. The performance of the system is affected if nonlinear parameters are present in the system. This paper presents a method to select rule base size depending on the nonlinear parameters present in the system in parallel with robust sliding mode controller. The significance of the proposed method is tested on highly nonlinear second order system (robot manipulator) using modified rule bases.