Fuzzy Logic, Identification and Predictive Control (Advances in Industrial Control)
by Jairo Jose Espinosa Oviedo, Joos P.L. Vandewalle and Vincent Wertz
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Modern industrial processes and systems require adaptable advanced control protocols able to deal with circumstances demanding "judgement” rather than simple "yes/no”, "on/off” responses: circumstances where a linguistic description is often more relevant than a cut-and-dried numerical one. The ability of fuzzy systems to handle numeric and linguistic information within a single framework renders them efficacious for this purpose.
Fuzzy Logic, Identification and Predictive Control first shows you how to construct static and dynamic fuzzy models using the numerical data from a variety of real industrial systems and simulations. The second part exploits such models to design control systems employing techniques like data mining.
This monograph presents a combination of fuzzy control theory and industrial serviceability that will make a telling contribution to your research whether in the academic or industrial sphere and also serves as a fine roundup of the fuzzy control area for the graduate student.
Details
- Publisher
- Springer London
- Authors
- Jairo Jose Espinosa Oviedo, Joos P.L. Vandewalle, Vincent Wertz
- Format
- Paperback
- Published
- Oct 21, 2010
- ISBN-13
- 9781849969314
- Pages
- 264
- Printing
- Printed on demand
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Volume pricing applies automatically in your cart. No codes, no account needed.
| Copies | Price per copy | You save |
|---|---|---|
| 25 – 49 | $149.59 | 12% off list |
| 50 – 99 | $147.89 | 13% off list |
| 100+ | $146.19 | 14% off list |
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