Nature Inspired Optimization Algorithms for Fuzzy Controlled Servo Systems

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Download or read online Nature Inspired Optimization Algorithms for Fuzzy Controlled Servo Systems PDF book by Radu-Emil Precup in ePUB, PDF or Kindle eBooks. Published by Butterworth-Heinemann in 15 May 2019 the book become immediate popular and critical acclaim in Technology & Engineering books with total hardcover page 148. Click Download Book button to get book file. Read some info about this book below.

  • Author : Radu-Emil Precup
  • Publisher : Butterworth-Heinemann
  • Release : 15 May 2019
  • ISBN : 9780128163580
  • Page : 148 pages
  • Language : English
  • Total View : 4904 Views
  • File Size : 52,7 Mb

Nature Inspired Optimization Algorithms for Fuzzy Controlled Servo Systems Book PDF summary

Nature-inspired Optimization Algorithms for Fuzzy Controlled Servo Systems suits the general need of a book that explains the major issues to fuzzy control in servo systems without any solid mathematical prerequisite. In addition, pertinent information on nature-inspired optimization algorithms is offered. The book is intended to rapidly make intelligible notions of fuzzy set theory and fuzzy control to readers with limited experience. The attractive analysis and design methodologies dedicated to fuzzy controllers are accompanied by applications to servo systems and case studies in fuzzy controlled servo systems are organized in a special chapter of this book, and allow simple implementations of low-cost automation solutions. The theoretical approaches presented throughout the book are validated by the illustration of digital simulation results and real-time experimental results as well. This book aims at a large category of audience including graduate students, engineers (designers, practitioners and researchers), and everyone who faces challenging control problems. Gives a merge between classical and modern approaches to fuzzy control Presents in a unified structure from the point of view of a control engineer the essential aspects regarding fuzzy control in servo systems Makes intelligible notions of fuzzy set theory and fuzzy control to readers with limited experience

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