Intelligent Automation and Systems Engineering

  • Sio-Iong Ao
  • Mahyar Amouzegar
  • Burghard B. Rieger

Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 103)

Table of contents

  1. Front Matter
    Pages i-x
  2. Chamila Walgampaya, Mehmed Kantardzic, Roman Yampolskiy
    Pages 1-14
  3. Ebrahim Yazdi, Vahid Azizi, Abolfazle T. Haghighat
    Pages 15-26
  4. Andrea Deaconescu, Tudor Deaconescu
    Pages 27-40
  5. Rubén Salas-Cabrera, Oscar Martínez-Hernández, Julio C. Rosas-Caro, Jonathan C. Mayo-Maldonado, E. Nacú Salas-Cabrera, Aaron González-Rodríguez et al.
    Pages 79-92
  6. José Tavira-Mondragón, Rogelio Martínez-Ramírez, Fernando Jiménez-Fraustro, Roni Orozco-Martínez, Rafael Cruz-Cruz
    Pages 107-119
  7. Edgardo J. Roldán-Villasana, Yadira Mendoza-Alegría, Iván F. Galindo-García
    Pages 121-135
  8. Mobolaji Humphrey Oladeinde, John Ajokpaoghene Akpobi
    Pages 151-159
  9. Mei Zhongyi, Muhammad Younus, Liu Yongjin
    Pages 161-173
  10. Teodor Winkler, Jarosław Tokarczyk
    Pages 175-187
  11. D. P. Politze, J. P. Bathelt, K. Wegener, D. H. Bergsjö
    Pages 217-229
  12. Marcela Porta, Katherine Maillet, Marta Mas, Carmen Martinez
    Pages 231-242

About this book

Introduction

Intelligent systems are required to facilitate the use of information provided by the internet and other computer based technologies. This book describes the state-of-the-art in Intelligent Automation and Systems Engineering.  Topics covered include Intelligent decision making, Automation, Robotics, Expert systems, Fuzzy systems, Knowledge-based systems, Knowledge extraction, Large database management, Data analysis tools, Computational biology, Optimization algorithms, Experimental designs, Complex system identification, Computational modeling, Systems simulation, Decision modeling, and industrial applications.

  • Provides a comprehensive reference on Intelligent Automation and Systems Engineering;
  • Covers fundamental issues, new technologies and applications;
  • Describes methods for modeling, where the information available may be imprecise, uncertain, incomplete or of a linguistic nature.
     


 

Keywords

Computational Modeling Data Mining Decision Modeling Expert Systems Fuzzy Systems Intelligent Automation Intelligent decision making Knowledge Extraction Systems Engineering Systems Simulation

Editors and affiliations

  • Sio-Iong Ao
    • 1
  • Mahyar Amouzegar
    • 2
  • Burghard B. Rieger
    • 3
  1. 1.The University of Hong KongHong KongChina, People's Republic
  2. 2.Dept. Chemical EngineeringCalifornia State UniversityLong BeachUSA
  3. 3.Universität TrierTrierGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-0373-9
  • Copyright Information Springer Science+Business Media, LLC 2011
  • Publisher Name Springer, New York, NY
  • eBook Packages Engineering
  • Print ISBN 978-1-4614-0372-2
  • Online ISBN 978-1-4614-0373-9
  • Series Print ISSN 1876-1100
  • Series Online ISSN 1876-1119
  • About this book