Microelectronic Design Of Fuzzy Logic Based Systems

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Microelectronic Design of Fuzzy Logic-Based Systems

Microelectronic Design of Fuzzy Logic-Based Systems
Author :
Publisher : CRC Press
Total Pages : 338
Release :
ISBN-10 : 9781482273861
ISBN-13 : 1482273861
Rating : 4/5 (861 Downloads)

Book Synopsis Microelectronic Design of Fuzzy Logic-Based Systems by : Iluminada Baturone

Download or read book Microelectronic Design of Fuzzy Logic-Based Systems written by Iluminada Baturone and published by CRC Press. This book was released on 2018-10-08 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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


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