Operating regime determination in fuzzy local modeling by genetic algorithm

Recently, fuzzy local modeling has attracted much attention for identification of complex systems. In this approach, a global system model is represented by the combination of a number of simple local models and each local model is identified for corresponding local operating regimes defined by the membership function. This paper addresses an automatic determination algorithm for membership functions to give suitable local operating regimes in fuzzy local modeling based on the genetic algorithm. Numerical simulation results show the applicability of the proposed algorithm.