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Title: Microelectronic Design of Fuzzy Logic-Based Systems

Price: $99.95

ISBN: 0849300916

Publication Date: 2000

# of Pages: 336

  • Clear, concise explanations and illustrations for the transition of fuzzy logic theory into dedicated hardware
  • Comprehensive descriptions of the fundamentals and details of VLSI design of fuzzy systems
  • Explanation of design and use of CAD tools for implementing fuzzy systems
  • Coverage of the most up-to-date microelectronics realizations of fuzzy systems

    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.

    Ø Review fuzzy logic theory and the basic issues of fuzzy sets, operators, and inference mechanisms
    Ø Explore the trade-offs between efficient theoretical behavior and practical hardware realizations
    Ø Discover the properties of the possible microelectronic realizations of fuzzy systems - conventional processors, fuzzy coprocessors, and fuzzy chips
    Ø Investigate the design of fuzzy chips that implement the whole fuzzy inference method into silicon
    Ø Analyze analog, digital, and mixed-signal techniques
    Ø Reduce your design effort for fuzzy systems with CAD tools - learn the requirements they should meet and survey current environments.
    Ø 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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