Fuzzy Modeling for Control
Robert Babuska
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Description for Fuzzy Modeling for Control
Paperback. Series: International Series in Intelligent Technologies. Num Pages: 260 pages, biography. BIC Classification: KJT; PBCD; PBKA. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 14. Weight in Grams: 433.
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 the selection of appropriate model structures, on the acquisition of dynamic fuzzy models from process measurements (fuzzy identification), and on the design ... Read more
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 the selection of appropriate model structures, on the acquisition of dynamic fuzzy models from process measurements (fuzzy identification), and on the design ... Read more
Product Details
Format
Paperback
Publication date
2012
Publisher
Springer Netherlands
Number of pages
260
Condition
New
Series
International Series in Intelligent Technologies
Number of Pages
260
Place of Publication
Dordrecht, Netherlands
ISBN
9789401060400
SKU
V9789401060400
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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