Applied Control Systems Design

  • Magdi S. Mahmoud
  • Yuanqing Xia

Table of contents

  1. Front Matter
    Pages I-XXI
  2. Magdi S. Mahmoud, Yuanqing Xia
    Pages 1-10
  3. Magdi S. Mahmoud, Yuanqing Xia
    Pages 11-33
  4. Magdi S. Mahmoud, Yuanqing Xia
    Pages 35-148
  5. Magdi S. Mahmoud, Yuanqing Xia
    Pages 149-214
  6. Magdi S. Mahmoud, Yuanqing Xia
    Pages 215-307
  7. Magdi S. Mahmoud, Yuanqing Xia
    Pages 309-404
  8. Magdi S. Mahmoud, Yuanqing Xia
    Pages 405-461
  9. Magdi S. Mahmoud, Yuanqing Xia
    Pages 463-520
  10. Magdi S. Mahmoud, Yuanqing Xia
    Pages 521-558
  11. Back Matter
    Pages 559-560

About this book


Applied Control System Design examines several methods for building up systems models based on real experimental data from typical industrial processes and incorporating system identification techniques. The text takes a comparative approach to the models derived in this way judging their suitability for use in different systems and under different operational circumstances. A broad spectrum of control methods including various forms of filtering, feedback and feedforward control is applied to the models and the guidelines derived from the closed-loop responses are then composed into a concrete self-tested recipe to serve as a check-list for industrial engineers or control designers. System identification and control design are given equal weight in model derivation and testing to reflect their equality of importance in the proper design and optimization of high-performance control systems.
Readers’ assimilation of the material discussed is assisted by the provision of problems and examples. Most of these exercises use MATLAB® to make computation and visualization more straightforward.
Applied Control System Design will be of interest to academic researchers for its comparison of different systems models and their response to different control methods and will assist graduate students in learning the practical necessities of advanced control system design. The consistent reference to real systems coupled with self-learning tools will assist control practitioners who wish to keep up to date with the latest control design ideas.


Control Applications Control Design Linear Control Methods Model Validation State-space Modeling System Identification

Authors and affiliations

  • Magdi S. Mahmoud
    • 1
  • Yuanqing Xia
    • 2
  1. 1.Department of Systems EngineeringKing Fahad Univ. of Petroleum & MineralsDhahranSaudi Arabia
  2. 2.Dept. Automatic ControlBeijing Institute of TechnologyBeijingChina, People's Republic

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag London Limited 2012
  • Publisher Name Springer, London
  • eBook Packages Engineering
  • Print ISBN 978-1-4471-2878-6
  • Online ISBN 978-1-4471-2879-3
  • Buy this book on publisher's site