Fuzzy Modeling for Control (International Series in Intelligent Technologies, 12)

Fuzzy Modeling for Control (International Series in Intelligent Technologies, 12)
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by Robert Babuska

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Book Description
Rule-based fuzzy modeling has been recognised as a powerful technique for the modeling of partly-known nonlinear systems. Fuzzy models can effectively integrate information from different sources, such as physical laws, empirical models, measurements and heuristics. Application areas of fuzzy models include prediction, decision support, system analysis, control design, etc. Fuzzy Modeling for Control addresses fuzzy modeling from the systems and control engineering points of view. It focuses on... read more



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