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Model-Based Fuzzy Control : Fuzzy Gain Schedulers and Sliding Mode Fuzzy...
US $16.49
ApproximatelyPHP 918.66
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Was US $29.99 (45% off)
Condition:
Very Good
A book that has been read but is in excellent condition. No obvious damage to the cover, with the dust jacket included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear.
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Free local pickup from Champaign, Illinois, United States.
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Located in: Champaign, Illinois, United States
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Estimated between Fri, 6 Jun and Wed, 11 Jun to 94104
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eBay item number:314028740827
Item specifics
- Condition
- Special Attributes
- Slides
- Features
- Slides
- ISBN
- 9783540614715
About this product
Product Identifiers
Publisher
Springer Berlin / Heidelberg
ISBN-10
3540614710
ISBN-13
9783540614715
eBay Product ID (ePID)
1009329
Product Key Features
Number of Pages
Xiii, 186 Pages
Language
English
Publication Name
Model-Based Fuzzy Control : Fuzzy Gain Schedulers and Sliding Mode Fuzzy Control
Subject
Systems Architecture / General, Automation, Intelligence (Ai) & Semantics, Cad-Cam, System Theory
Publication Year
1996
Type
Textbook
Subject Area
Computers, Technology & Engineering, Science
Format
Hardcover
Dimensions
Item Height
0.3 in
Item Weight
36.3 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
96-047571
Dewey Edition
21
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
629.8/9
Table Of Content
1. Introduction to Model Based Fuzzy Control.- 2. The FLC as a Nonlinear Transfer Element.- 3. Model Based Design of Sliding Mode FLC.- 4. Model Based Design of Takagi--Sugeno FLCs.- 5. Examples.- References.
Synopsis
Model Based Fuzzy Control uses a given conventional or fuzzy open loop model of the plant under control to derive the set of fuzzy rules for the fuzzy controller. Of central interest are the stability, performance, and robustness of the resulting closed loop system. The major objective of model based fuzzy control is to use the full range of linear and nonlinear design and analysis methods to design such fuzzy controllers with better stability, performance, and robustness properties than non-fuzzy controllers designed using the same techniques. This objective has already been achieved for fuzzy sliding mode controllers and fuzzy gain schedulers - the main topics of this book. The primary aim of the book is to serve as a guide for the practitioner and to provide introductory material for courses in control theory., This comprehensive and modern text on model based fuzzy control and its relationship to conventional control is intended to serve as a guide for scientists and practitioners and to provide material on fuzzy control as an addition to courses in control theory.
LC Classification Number
TA345-345.5
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