Automatic design of multidimensional controllers by means of an evolutionary algorithm

In this paper we outline some basic difficulties in the design of fuzzy controllers. We present a new controller concept, which avoids the drawbacks of classical fuzzy controllers. Our concept is suited for an automatic design especially. In order to show how one can develop such a new controller by means of an evolutionary algorithm, we use a simulation of the cart-pole problem with four input variables. In addition, we introduce a procedure, which allows a sequential optimization. Our approach is advantageously with respect to automotive applications.