Many engineering application need to solve control and optimization problems which depend significantly on obtaining inverse solutions for nonlinear and/or underconstrained systems. But, unlike linear functions of which there are known standard methods for solving inverse mapping, there is no known standard method for solving inverse mapping of nonlinear functions in general.
This paper presents a method for solving inverse mapping of a continuous function learned by a Fuzzy Logic System. And some applications are given to show the validation of the proposed method.
