Fuzzy Modeling for Control
Language: English
Published by Kluwer Academic Publishers, 1998
- Hardcover
- New

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Condition: New
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Add to basketItem description from seller
Rule-based fuzzy modeling has been recognised as a powerful technique for the modeling of partly-known nonlinear systems. Fuzzy models can integrate information from different sources, such as physical laws, empirical models, measurements and heuristics. This title addresses fuzzy modeling from the systems and control engineering points of view. Series: International Series in Intelligent Technologies. Num Pages: 260 pages, biography. BIC Classification: PBWX; TJFM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (XV) Technical / Manuals. Dimension: 234 x 156 x 17. Weight in Grams: 576. . 1998. Hardback. . . . . Books ship from the US and Ireland.
Seller Inventory # V9780792381549
- Title
- Fuzzy Modeling for Control
- Author
- Babuska, Robert
- Publisher
- Kluwer Academic Publishers
- Publication year
- 1998
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0792381548
- ISBN 13
- 9780792381549
To automatically generate fuzzy models from measurements, a comprehensive methodology is developed which employs fuzzy clustering techniques to partition the available data into subsets characterized by locally linear behaviour. The relationships between the presented identification method and linear regression are exploited, allowing for the combination of fuzzy logic techniques with standard system identification tools. Attention is paid to the trade-off between the accuracy and transparency of the obtained fuzzy models. Control design based on a fuzzy model of a nonlinear dynamic process is addressed, using the concepts of model-based predictive control and internal model control with an inverted fuzzy model. To this end, methods to exactly invert specific types of fuzzy models are presented. In the context of predictive control, branch-and-bound optimization is applied.
The main features of the presented techniques are illustrated by means of simple examples. In addition, three real-world applications are described. Finally, software tools for building fuzzy models from measurements are available from the author.
"Synopsis" may belong to another edition of this title.
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