HYSTERESIS CHARACTERIZATION BY A FUZZY LEARNING ALGORITHM

作     者：EDGE C. YEH SHAO HOW LU 

作者机构：Department of Power Mechanical Engineering National Tsing Hua University Hsinchu Taiwan China Tel: 886-35-715131 Ext 3742 FAX: 886-35-714826 

出 版 物：《International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems》 

年 卷 期：1994年第2卷第3期

页      面：351-360页

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：hysteresis fuzzy theory learning algorithm 

摘      要：In this paper, the hysteresis characterization in fuzzy spaces is presented by utilizing a fuzzy learning algorithm to generate fuzzy rules automatically from numerical data. The hysteresis phenomenon is first described to analyze its underlying mechanism. Then a fuzzy learning algorithm is presented to learn the hysteresis phenomenon and is used for predicting a simple hysteresis phenomenon. The results of learning are illustrated by mesh plots and input-output relation plots. Furthermore, the dependency of prediction accuracy on the number of fuzzy sets is studied. The method provides a useful tool to model the hysteresis phenomenon in fuzzy spaces.