Chaos Modeling and Control Systems Design

  • Ahmad Taher Azar
  • Sundarapandian Vaidyanathan

Part of the Studies in Computational Intelligence book series (SCI, volume 581)

Table of contents

  1. Front Matter
    Pages i-x
  2. Chaos Modeling and Applications

    1. Front Matter
      Pages 1-1
    2. Sundarapandian Vaidyanathan, Ahmad Taher Azar
      Pages 3-17
    3. Sundarapandian Vaidyanathan, Ahmad Taher Azar
      Pages 19-38
    4. Sundarapandian Vaidyanathan, Babatunde A. Idowu, Ahmad Taher Azar
      Pages 39-58
    5. Viet-Thanh Pham, Christos K. Volos, Sundarapandian Vaidyanathan
      Pages 59-72
  3. Control Systems and Applications

    1. Front Matter
      Pages 95-95
    2. Sergi Rotger-Griful, Rune Hylsberg Jacobsen
      Pages 133-161
    3. Naglaa Kamel Bahgaat, Mohammed Ibrahim El-Sayed Ahmed, Mohamed A. Moustafa Hassan, Fahmy M. Bendary
      Pages 163-211
    4. Salem Elsaiah, Mohammed Benidris, Joydeep Mitra
      Pages 265-289
    5. Sarosh Patel, Tarek Sobh, Ausif Mahmood
      Pages 319-350
    6. Sajal K. Das, Hemanshu R. Pota, Ian R. Petersen
      Pages 351-391
    7. Rafika El Harabi, Rahma Smaili, Mohamed Naceur Abdelkrim
      Pages 393-416

About this book

Introduction

The development of computational intelligence (CI) systems was inspired by observable and imitable aspects of intelligent activity of human being and nature. The essence of the systems based on computational intelligence is to process and interpret data of various nature so that that CI is strictly connected with the increase of available data as well as capabilities of their processing, mutually supportive factors. Developed theories of computational intelligence were quickly applied in many fields of engineering, data analysis, forecasting, biomedicine and others. They are used in images and sounds processing and identifying, signals processing, multidimensional data visualization, steering of objects, analysis of lexicographic data, requesting systems in banking, diagnostic systems, expert systems and many other practical implementations.

This book consists of 15 contributed chapters by subject experts who are specialized in the various topics addressed in this book. The special chapters have been brought out in the broad areas of Control Systems, Power Electronics, Computer Science, Information Technology, modeling and engineering applications. Special importance was given to chapters offering practical solutions and novel methods for the recent research problems in the main areas of this book, viz. Control Systems, Modeling, Computer Science, IT and engineering applications.

This book will serve as a reference book for graduate students and researchers with a basic knowledge of control theory, computer science and soft-computing techniques. The resulting design procedures are emphasized using Matlab/Simulink software.

Keywords

Artificial Neural Networks CEIT 14 CEIT’14 Computational Intelligence Evolutionary Computing Fuzzy Logic Intelligent Monitoring and Control Systems Neuro-Fuzzy Approaches Rough Sets

Editors and affiliations

  • Ahmad Taher Azar
    • 1
  • Sundarapandian Vaidyanathan
    • 2
  1. 1.Faculty of Computers and InformationBenha UniversityBenhaEgypt
  2. 2.Research and Development CentreVel Tech UniversityChennaiIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-13132-0
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-13131-3
  • Online ISBN 978-3-319-13132-0
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book