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Modern Adaptive Fuzzy Control Systems (Studies in Fuzziness and Soft Computing, 421) 1st ed. 2023 Edition

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This book explains the basic concepts, theory and applications of fuzzy systems in control in a simple unified approach with clear ex-amples and simulations in the MATLAB programming language. Fuzzy systems, especially, type-2 neuro-fuzzy systems, are now used extensively in various engineering fields for different purposes. In plain language, this book aims to practically explain fuzzy sys-tems and different methods of training and optimizing these systems. For this purpose, type-2 neuro-fuzzy systems are first analyzed along with various methods of training and optimizing these systems through implementation in MATLAB. These systems are then em-ployed to design adaptive fuzzy controllers. The authors aim at pre-senting all the well-known optimization methods clearly and code them in the MATLAB language.

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  1. ISBN-10
    3031173929
  2. ISBN-13
    978-3031173929
  3. Edition
    1st ed. 2023
  4. Publisher
    Springer
  5. Publication date
    November 3, 2022
  6. Language
    English
  7. Dimensions
    5.83 x 0.39 x 9.06 inches
  8. Print length
    167 pages
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Editorial Reviews

Review

“The book is good for researchers to get to know different fuzzy systems and adaptive fuzzy controller design method.” (Zhiguang Feng, Mathematical Reviews, February, 2024)

From the Back Cover

This book explains the basic concepts, theory and applications of fuzzy systems in control in a simple unified approach with clear ex-amples and simulations in the MATLAB programming language. Fuzzy systems, especially, type-2 neuro-fuzzy systems, are now used extensively in various engineering fields for different purposes. In plain language, this book aims to practically explain fuzzy sys-tems and different methods of training and optimizing these systems. For this purpose, type-2 neuro-fuzzy systems are first analyzed along with various methods of training and optimizing these systems through implementation in MATLAB. These systems are then em-ployed to design adaptive fuzzy controllers. The authors aim at pre-senting all the well-known optimization methods clearly and code them in the MATLAB language.

Product details

  • Publisher ‏ : ‎ Springer; 1st ed. 2023 edition (November 3, 2022)
  • Language ‏ : ‎ English
  • Hardcover ‏ : ‎ 167 pages
  • ISBN-10 ‏ : ‎ 3031173929
  • ISBN-13 ‏ : ‎ 978-3031173929
  • Item Weight ‏ : ‎ 15.2 ounces
  • Dimensions ‏ : ‎ 5.83 x 0.39 x 9.06 inches

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