A Histogram Modification Approach for Analysis of Membership Function Relocation in Fuzzy Logic Control

Abstract

A histogram modification approach was proposed for the analysis of membership function relocation. We employed this approach to explicitly analyze and exploit the accurate approximation of the error and change in error input for the membership functions. The paper integrated knowledge-based fuzzy control rule with the histogram modification methods to analyze the control spatial distribution of the membership functions with the intervals for the error and change in error in real time error histogram. For this research, we also described the principle of design and sufficient theory analysis methods. The simulations were provided for the illustration and analysis on the extensive control operations for the effectiveness of our approach.