Operating Regime Determination in Fuzzy Local Modeling by Genetic Algorithm

抄録

Recently, fuzzy local modeling has attracted attention to identify the 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 membership function. This paper addresses automatic determination algorithm for membership functions to give suitable local operating regimes in fuzzy local modeling based on genetic algorithm. Numerical simulation results show the applicability of the proposed algorithm.