Application of Fuzzy Clustering for Identification of a Nonlinear Industrial Process

摘要

This paper presents a fuzzy logic approach to nonlinear system identification which is based on fuzzy clustering technique. As compared with other modeling methods, the proposed approach has the advantage of simplicity, flexibility, and high accuracy. Further, it is easy to use and may be handled by an automatic procedure. A nonlinear process example(i.e; Heat exchanger) is provided to illustrate the performance of the proposed approach.