Intelligent Control Systems Using Soft Computing Methodologies
eBook - ePub

Intelligent Control Systems Using Soft Computing Methodologies

  1. 504 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Intelligent Control Systems Using Soft Computing Methodologies

About this book

In recent years, intelligent control has emerged as one of the most active and fruitful areas of research and development. Until now, however, there has been no comprehensive text that explores the subject with focus on the design and analysis of biological and industrial applications. Intelligent Control Systems Using Soft Computing Methodologies does all that and more.

Beginning with an overview of intelligent control methodologies, the contributors present the fundamentals of neural networks, supervised and unsupervised learning, and recurrent networks. They address various implementation issues, then explore design and verification of neural networks for a variety of applications, including medicine, biology, digital signal processing, object recognition, computer networking, desalination technology, and oil refinery and chemical processes.

The focus then shifts to fuzzy logic, with a review of the fundamental and theoretical aspects, discussion of implementation issues, and examples of applications, including control of autonomous underwater vehicles, navigation of space vehicles, image processing, robotics, and energy management systems. The book concludes with the integration of genetic algorithms into the paradigm of soft computing methodologies, including several more industrial examples, implementation issues, and open problems and open problems related to intelligent control technology.

Suitable as a textbook or a reference, Intelligent Control Systems explores recent advances in the field from both the theoretical and the practical viewpoints. It also integrates intelligent control design methodologies to give designers a set of flexible, robust controllers and provide students with a tool for solving the examples and exercises within the book.

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Yes, you can access Intelligent Control Systems Using Soft Computing Methodologies by Ali Zilouchian, Mo Jamshidi, Ali Zilouchian,Mo Jamshidi in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Electrical Engineering & Telecommunications. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Halftitle Page
  3. Halftitle Page
  4. Copyright Page
  5. Dedication Page
  6. PREFACE
  7. ABOUT THE EDITORS
  8. CONTRIBUTORS
  9. ABBREVIATIONS
  10. Table of Contents
  11. 1 INTRODUCTION
  12. 2 FUNDAMENTALS OF NEURAL NETWORKS
  13. 3 NEURAL NETWORK ARCHITECTURES
  14. 4 APPLICATIONS OF NEURAL NETWORKS IN MEDICINE AND BIOLOGICAL SCIENCES
  15. 5 APPLICATION OF NEURAL NETWORK IN DESIGN OF DIGITAL FILTERS
  16. 6 APPLICATION OF COMPUTER NETWORKING USING NEURAL NETWORK
  17. 7 APPLICATION OF NEURAL NETWORKS IN OIL REFINERIES
  18. 8 INTRODUCTION TO FUZZY SETS: BASIC DEFINITIONS AND RELATIONS
  19. 9 INTRODUCTION TO FUZZY LOGIC
  20. 10 FUZZY CONTROL AND STABILITY
  21. 11 SOFT COMPUTING APPROACH TO SAFE NAVIGATION OF AUTONOMOUS PLANETARY ROVERS
  22. 12 AUTONOMOUS UNDERWATER VEHICLE CONTROL USING FUZZY LOGIC
  23. 13 APPLICATION OF FUZZY
  24. 14 APPLICATION OF ADAPTIVE NEURO-FUZZY INFERENCE SYSTEMS TO ROBOTICS
  25. 15 APPLICATION OF SOFT COMPUTING FOR DESALINATION TECHNOLOGY
  26. 16 COMPUTATIONAL INTELLIGENCE APPROACH TO OBJECT RECOGNITION
  27. 17 AN INTRODUCTION TO EVOLUTIONARY COMPUTATION
  28. 18 EVOLUTIONARY CONCEPTS FOR IMAGE PROCESSING APPLICATIONS
  29. 19 EVOLUTIONARY FUZZY SYSTEMS
  30. 20 GENETIC AND EVOLUTIONARY METHODS FOR MOBILE ROBOT MOTION CONTROL AND PATH PLANNING
  31. 21 PROBLEMS AND MATLAB PROGRAMS
  32. INDEX