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Fuzzy Logic and Intelligent Systems

  • Book
  • © 1995

Overview

Editors:
  1. Hua Harry Li
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    You can also search for this editor in PubMed   Google Scholar

  2. Madan M. Gupta
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Part of the book series: International Series in Intelligent Technologies (ISIT, volume 3)

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Table of contents (15 chapters)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Improvement of Fuzzy Control Methods

    • M. Mizumoto
    Pages 1-16

  3. Neural Networks and Fuzzy Basis Functions for Functional Approximation

    • Liang Jin, Madan M. Gupta, Peter N. Nikiforuk
    Pages 17-67

  4. Ordering Fuzzy Real Quantities

    • Robert Lowen
    Pages 69-83

  5. Fuzzy Logic Controllers for Aircraft Flight Control

    • Jia Luo, Edward Lan
    Pages 85-124

  6. A Classical Controller: A Special Case of The Fuzzy Logic Controller

    • Thomas Brehm, Kuldip Rattan
    Pages 125-155

  7. Real Time Fuzzy Logic Controller for Balancing a Beam-and-Ball System

    • Nowell Godfrey, Hua Li, Yuandong Ji, William Marcy
    Pages 157-185

  8. Design of Fuzzy Controllers Based on Frequency And Transient Characteristics

    • Kazuo Tanaka
    Pages 187-212

  9. Fuzzy Inference Integrating 3D Measuring System with Adaptive Sensing Strategy

    • Koji Shimojima, Toshio Fukuda, Fumihito Arai, Hideo Matsuura
    Pages 213-243

  10. Robot Hand-Eye Coordination Based on Fuzzy Logic

    • Sukir Kumaresan, Hua Li, Xing-Min Li
    Pages 245-269

  11. Using FPGA Technique for Design and Implementation of a fuzzy Inference System

    • Donald Hung
    Pages 271-288

  12. An Empirical Analysis of One Type of Direct Adaptive Fuzzy Control

    • Hugues Bersini, Vittorio Gorrini
    Pages 289-309

  13. Automatic Optimal Design of Fuzzy Systems Based on Universal Approximation and Evolutionary Programming

    • Mattias Nyberg, Yoh-Han Pao
    Pages 311-366

  14. Intelligent Control Using Dynamic Neural Networks with Robotic Applications

    • Liang Jin, Madan M. Gupta, Peter N. Nikiforuk
    Pages 367-408

  15. Camcorder Operation Judgement Using a Neural Computing Approach

    • Kitahiro Kaneda, Paul Wang
    Pages 409-421

  16. Model Reduction and Control of Multistage Flash (MSF) Desalinization Plants

    • Srinivas Ramamurthy, Jayanta Pal, Ak Sinha, Darwish Al Gobaisi, Ganti Rao
    Pages 423-445

  17. Back Matter

    Pages 447-450
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Keywords

About this book

One of the attractions of fuzzy logic is its utility in solving many real engineering problems. As many have realised, the major obstacles in building a real intelligent machine involve dealing with random disturbances, processing large amounts of imprecise data, interacting with a dynamically changing environment, and coping with uncertainty. Neural-fuzzy techniques help one to solve many of these problems.
Fuzzy Logic and Intelligent Systems reflects the most recent developments in neural networks and fuzzy logic, and their application in intelligent systems. In addition, the balance between theoretical work and applications makes the book suitable for both researchers and engineers, as well as for graduate students.

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