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Fuzzy Logic and Control: Software and Hardware Applications, Volume 2 by Timothy J. Ross - University of New Mexico, Nader Vadiee, Mohammad Jamshidi

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18 Tuning Of Fuzzy Logic Controllers By Parameter Estimation Method

Nahrul K. Alang Rashid and A. Sharif Heger University of New Mexico

Fuzzy logic controllers (FLC) require fine tuning to match the rules to the membership functions or vice-versa. For the class of FLCs that mimic human process operators, the rule-membership function mismatch arises from the lack of information on the specifications of the membership functions. The rules that are incorporated into the FLC knowledge base are broad generalizations of the operators’ control strategy. While the rules are readily available from the operator, the specifications of the membership functions are harder to define. For the class of FLCs that are used to control a process in which the control ...

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