Abstract

This paper presents a new method for structure identification based on sensitivity analysis to determine the significant input variables of a fuzzy model. The sensitivity method is favorably compared against an heuristic method in two different examples. The proposed method is also used to develop fuzzy models for a combined cycle power plant from real time data.