DYNAMIC SWITCHING OF FUZZY RESOLUTION IN KNOWLEDGE-BASED SELF-TUNING CONTROL

Self-tuning of a control system may be effectively carried out by mean s of a properly designed, fuzzy, decision-making system. Optimization of the operation of such knowledge-based systems requires consideratio n of several factors including proper selection of fuzzy resolution, s hape of the membership functions of fuzzy variables, and the level of overlap among various fuzzy states of a variable. This article studies the effect of fuzzy resolution on the processing speed and response a ccuracy of a fuzzy logic based control or tuning system. First, the un derlying analytical concepts are presented, and on that basis, experim ents are carried out to study this effect of fuzzy resolution. Respons e of the experimental system is studied at different levels of fuzzy r esolution. Next, the concept of resolution switching is introduced and incorporated into the experimental system. The results obtained with and without resolution switching ave comparatively studied to demonstr ate the effectiveness of resolution switching. (C) 1996 John Wiley and Sons, Inc.