Derivation of Fuzzy Control Rules from Human Operator's Control Actions

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Abstract

So called fuzzy control has been developed for the purpose of realization of a man-like controller with the aid of computer. However, most of fuzzy controllers have two very important problems. First is a defect of the reasoning algorithm. Second is a way to acquire control rules, particulaly the precise parameters in the rules. In this Daper considering the above problems, we propose a realistic fuzzy reasoning algorithm and a method to identify control rules from human operators actual control actions. Further we examine the performance of the proposed algorithm by applying it to water cleaning process control.

Keywords

Identification
Industrial control
Fuzzy Reasoning
Fuzzy Control
Modelling

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