Approximations of large rule Takagi-Sugeno fuzzy controller by four rule Takagi-Sugeno fuzzy controller

This paper deals with approximations of large rule Takagi-Sugeno (TKS) fuzzy controller by four rule TKS fuzzy controller (simpler) via comparison of rule base of two controllers. The inequalities between two controllers are compensated by proposed compensating factors. The proposed methodology enormously reduces the computational time and computational memory. The proposed methodology is utilized to control a second order plant. It has been found that the proposed approximations and conventional methods give approximately same results