Microelectronic Design of Fuzzy Logic-Based Systems

Iluminada Baturone (u. a.)

ISBN 10: 0849300916 / ISBN 13: 9780849300912

Published by CRC Press, 2000

About this Item

Microelectronic Design of Fuzzy Logic-Based Systems | Iluminada Baturone (u. a.) | Buch | International Series on Computational Intelligence | Einband - fest (Hardcover) | Englisch | 2000 | CRC Press | EAN 9780849300912 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 136157012

Bibliographic Details

• Title: Microelectronic Design of Fuzzy Logic-Based Systems
• Publisher: CRC Press
• Publication Date: 2000
• Language: English
• ISBN 10: 0849300916
• ISBN 13: 9780849300912
• Binding: Buch
• Condition: Neu
• Dimensions: 234W x 156H x 21D millimeters 234 millimeters width by 156 millimeters height by 21 millimeters depth
• Weight: 603 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Fuzzy logic has virtually exploded over the landscape of emerging technologies, becoming an integral part of myriad applications and a standard tool for engineers. Until recently, most of the attention and applications have centered on fuzzy systems implemented in software. But these systems are limited. Problems that require real-time operation, low area, or low power consumption demand hardware designed to the fuzzy paradigm - and engineers with the background and skills to design it.

Microelectronic Design of Fuzzy Logic-Based Systems offers low-cost answers to issues that software cannot resolve. From the theoretical, architectural, and technological foundation to design tools and applications, it serves as your guide to effective hardware realizations of fuzzy logic.

Review fuzzy logic theory and the basic issues of fuzzy sets, operators, and inference mechanisms

Explore the trade-offs between efficient theoretical behavior and practical hardware realizations

Discover the properties of the possible microelectronic realizations of fuzzy systems - conventional processors, fuzzy coprocessors, and fuzzy chips

Investigate the design of fuzzy chips that implement the whole fuzzy inference method into silicon

Analyze analog, digital, and mixed-signal techniques

Reduce your design effort for fuzzy systems with CAD tools - learn the requirements they should meet and survey current environments.

Put it all together - see examples and case studies illustrating how all of this is used to solve particular problems related to control and neuro-fuzzy applications

About the Author

Iluminada Baturone, Angel Barriga, Carlos Jimenez-Fernandez, Diego R. Lopez, Santiago Sanchez-Solano