Fuzzy Logic, Identification and Predictive Control
Author:   Jairo Jose Espinosa Oviedo ,  Joos P.L. Vandewalle ,  Vincent Wertz
Publisher:   Springer London Ltd
Edition:   2005 ed.
ISBN:  

9781852338282


Pages:   264
Publication Date:   03 December 2004
Format:   Hardback
Availability:   In Print   Availability explained
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Fuzzy Logic, Identification and Predictive Control


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Author:   Jairo Jose Espinosa Oviedo ,  Joos P.L. Vandewalle ,  Vincent Wertz
Publisher:   Springer London Ltd
Imprint:   Springer London Ltd
Edition:   2005 ed.
Weight:   1.290kg
ISBN:  

9781852338282


ISBN 10:   1852338288
Pages:   264
Publication Date:   03 December 2004
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Fuzzy Modeling.- Fuzzy Modeling.- Constructing Fuzzy Models from Input-Output Data.- Fuzzy Modeling with Linguistic Integrity: A Tool for Data Mining.- Nonlinear Identification Using Fuzzy Models.- Fuzzy Control.- Fuzzy Control.- Predictive Control Based on Fuzzy Models.- Robust Nonlinear Predictive Control Using Fuzzy Models.- Conclusions and Future Perspectives.

Reviews

From the reviews: New insights into the transfer of fuzzy methods into the modern control paradigms encompassing robust, model-based, PID-like, and predictive control are presented in this book. ... Five appendices support the already extensive results of the chapters by proofs, explanations and illustrative examples. The book (263 pages, 138 figures, 95 references) is of interest to researchers in the field of data mining, artificial intelligence, modeling, and control. Also, the realistic examples provide good material to graduate students and engineers. (Ingmar Randvee, Zentralblatt MATH, Vol. 1061 (12), 2005)


From the reviews: New insights into the transfer of fuzzy methods into the modern control paradigms encompassing robust, model-based, PID-like, and predictive control are presented in this book. ... Five appendices support the already extensive results of the chapters by proofs, explanations and illustrative examples. The book (263 pages, 138 figures, 95 references) is of interest to researchers in the field of data mining, artificial intelligence, modeling, and control. Also, the realistic examples provide good material to graduate students and engineers. (Ingmar Randvee, Zentralblatt MATH, Vol. 1061 (12), 2005)


Author Information

Jairo Espinosa had a considerable experience of the practitioner side of advanced control systems and fuzzy systems in particular working with such companies as Zenith Data Systems in his native Colombia. There, he also won prizes for his academic work and for electronic design. He now works for IPCOS a company specialising in the design of advanced control systems for many process industries. This wil allow the author to draw on a good selection of industrial situations in writing the book.   Vincent Wertz is now head of the Automatic Control Group at Louvain where he is particularly active in Ph.D. supervision work (his contributions to the book will ensure relevance to the graduate market) and the book reflects all of his main research interests.

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