Computational Intelligence Applications in Modeling and Control

  • Ahmad Taher Azar
  • Sundarapandian Vaidyanathan

Part of the Studies in Computational Intelligence book series (SCI, volume 575)

Table of contents

  1. Front Matter
    Pages i-x
  2. Ahmad Karawash, Hamid Mcheick, Mohamed Dbouk
    Pages 27-54
  3. Abderrezak Laouafi, Mourad Mordjaoui, Djalel Dib
    Pages 95-121
  4. Erik Cuevas, Miguel Cienfuegos, Raul Rojas, Alfredo Padilla
    Pages 123-146
  5. Santosh Kumar, Deepanwita Datta, Sanjay Kumar Singh
    Pages 147-170
  6. Kheireddine Lamamra, Khaled Belarbi, Souaad Boukhtini
    Pages 229-254
  7. Iis Afrianty, Dewi Nasien, Mohammed R. A. Kadir, Habibollah Haron
    Pages 255-281
  8. Amira Aloui, Amel Grissa
    Pages 315-342
  9. Nizar Rokbani, Alicia Casals, Adel M. Alimi
    Pages 369-395

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 16 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/10.1007/978-3-319-11017-2
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-11016-5
  • Online ISBN 978-3-319-11017-2
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book