Microelectronic Design of Fuzzy Logic-Based Systems (International Series on Computational Intelligence) Baturone, Iluminada; Barriga, Angel; Jimenez-Fernandez, Carlos; Lopez, Diego R. and Sanchez-Solano, Santiago

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

ISBN 10: 0849300916 / ISBN 13: 9780849300912

Edité par CRC Press, 2000

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xlibrary copy 2000 hardcover no dj as issued withdrawn stamp in book/ on edge of pages clean crisp pages 315 pages::: J-1. N° de réf. du vendeur 1025IXDGW6D

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Titre : Microelectronic Design of Fuzzy Logic-Based ...

Éditeur : CRC Press

Date d'édition : 2000

Reliure : Hardcover

Etat : Used: Good

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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

À propos de l?auteur:

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