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Expert fuzzy controller. (English) Zbl 0751.93055
Summary: We describe a fuzzy controller based on our general purpose fuzzy expert system shell FLOPS. We take a decision theoretic view in designing an optimal fuzzy controller. The variables in the decision problem are: (1) the defuzzification rules; (2) the fuzzification rules; and (3) the fuzzy control rules. The objective function is composed of fuzzy goals spacified for each system output. We differentiate between decision making under certainty, risk, or uncertainty depending whether or not random elements are present in the system. An example is presented illustrating varying the defuzzification rules to improve system performance.

MSC:
93C42 Fuzzy control/observation systems
68T35 Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence
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