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Fuzzy logic for embedded systems applications / by Ahmad M. Ibrahim.

By: Contributor(s): Series: Embedded technology series2004Description: 1 online resource (xvi, 293 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780080469904
  • 0080469906
  • 1280964294
  • 9781280964299
Subject(s): Genre/Form: Additional physical formats: Print version:: Fuzzy logic for embedded systems applications.LOC classification:
  • TK7895.E42 I32 2004eb
Online resources:
Contents:
Introduction; A brief history of fuzzy logic; Why use fuzzy logic for embedded applications?; Fuzzy sets; Fuzzy logic algebra; Fuzzy modeling and control; Electronics devices and fuzziness; Electronic neural Networks; Embedded systems design case studies: Hardware; Embedded systems design case studies: Software; Fuzzy logic toolbox; Review of free fuzzy logic resources.
Action note:
  • digitized 2010 HathiTrust Digital Library committed to preserve
Summary: Fuzzy Logic for Embedded Systems Applications, by a recognized expert in the field, covers all the basic theory relevant to electronics design, with particular emphasis on embedded systems, and shows how the techniques can be applied to shorten design cycles and handle logic problems that are tough to solve using conventional linear techniques. All the latest advances in the field aree discussed and practical circuit design examples presented. Fuzzy logic has been found to be particularly suitable for many embedded control applications. The intuitive nature of the fuzzy-based system design saves engineers time and reduces costs by shortening product development cycles and making system maintenance and adjustments easier. Yet despite its wide acceptanceand perhaps because of its nameit is still misunderstood and feared by many engineers. There is a need for embedded systems designersboth hardware and softwareto get up to speed on the principles and applications of fuzzy logic in order to ascertain when and how to use them appropriately. Fuzzy Logic for Embedded Systems Applications provides practical guidelines for designing electronic circuits and devices for embedded systems using fuzzy-based logic. It covers both theory and applications with design examples. * Unified approach to fuzzy electronics from an engineering point of view * Easy to follow with plenty of examples * Review and evaluation of free resources.
Item type: eBooks
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Includes index.

Print version record.

Introduction; A brief history of fuzzy logic; Why use fuzzy logic for embedded applications?; Fuzzy sets; Fuzzy logic algebra; Fuzzy modeling and control; Electronics devices and fuzziness; Electronic neural Networks; Embedded systems design case studies: Hardware; Embedded systems design case studies: Software; Fuzzy logic toolbox; Review of free fuzzy logic resources.

Fuzzy Logic for Embedded Systems Applications, by a recognized expert in the field, covers all the basic theory relevant to electronics design, with particular emphasis on embedded systems, and shows how the techniques can be applied to shorten design cycles and handle logic problems that are tough to solve using conventional linear techniques. All the latest advances in the field aree discussed and practical circuit design examples presented. Fuzzy logic has been found to be particularly suitable for many embedded control applications. The intuitive nature of the fuzzy-based system design saves engineers time and reduces costs by shortening product development cycles and making system maintenance and adjustments easier. Yet despite its wide acceptanceand perhaps because of its nameit is still misunderstood and feared by many engineers. There is a need for embedded systems designersboth hardware and softwareto get up to speed on the principles and applications of fuzzy logic in order to ascertain when and how to use them appropriately. Fuzzy Logic for Embedded Systems Applications provides practical guidelines for designing electronic circuits and devices for embedded systems using fuzzy-based logic. It covers both theory and applications with design examples. * Unified approach to fuzzy electronics from an engineering point of view * Easy to follow with plenty of examples * Review and evaluation of free resources.

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