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Fuzzy Logic, Identification and Predictive Control
Overview
Demand for this book will come from research engineers looking to find ways to deal with systems (especially non-linear systems) which have been difficult to deal with in traditional control and from industrial control engineers looking to take advantage of the low-solution costs associated with the implementation of fuzzy methods in improving existing control protocols.
This item is Non-Returnable
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Details
- ISBN-13: 9781852338282
- ISBN-10: 1852338288
- Publisher: Springer
- Publish Date: December 2004
- Dimensions: 9.21 x 6.14 x 0.69 inches
- Shipping Weight: 1.29 pounds
- Page Count: 264
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