Techniques of model-based control
Author(s)
Bibliographic Information
Techniques of model-based control
(Prentice-Hall international series in the physical and chemical engineering sciences)
Prentice Hall PTR, c2002
Available at 2 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical references and index
Description and Table of Contents
Description
A comprehensive introduction to the concepts, techniques, and applications of model-based process control that presents the process control problem as a subset of overall plant operations problem rather than as a separate discipline. In addition, the approaches presented in the book are motivated by their use in solving practical problems, thus emphasizing methods rather than theory. The examples used to illustrate these methods and the MATLAB software that is included are further intended to assist the reader in the design and tuning of actual control systems.
Table of Contents
Preface.
Acknowledgements.
1. Introduction.
2. Continuous-Time Models.
3. One-Degree of Freedom Internal Model Control.
4. Two-Degree of Freedom Internal Model Control.
5. Model State Feedback Implementations of IMC.
6. PI and PID Parameters From IMC Designs.
7. Tuning and Synthesis of 1DF IMC for Uncertain Processes.
8 Tuning and Synthesis of 2DF IMC for Uncertain Processes.
9. Feedforward Control.
10. Cascade Control.
11. Output Constraint Control (Override Control).
12. Single Variable Inferential Control (IC).
13. Inferential Estimation Using Multiple Measurements.
14. Discrete-Time Models.
15. Identification: Basic Concepts.
16. Identification: Advanced Concepts.
17. Basic Model-Predictive Control.
18. Advanced Model-Predictive Control.
19. Inferential Model-Predictive Control.
Appendix A. Review of Basic Concepts.
Appendix B. Review of Frequency Response Analysis.
Appendix C: Review of Linear Least-Squares Regression.
Appendix D: Review of Random Variables and Random Processes.
Appendix E: MATLAB and Control Toolbox Tutorial.
Appendix F: SIMULINK Tutorial.
Appendix G: Tutorial on IMCTUNE Software.
Appendix H: Identification Software.
Appendix I: SIMULINK Models for Projects.
Index.
by "Nielsen BookData"