Techniques of Model-Based Control
- Hardback | 704 pages
- 186 x 236 x 32mm | 1,261g
- 13 Apr 2002
- Pearson Education (US)
- Prentice Hall
- Upper Saddle River, United States
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Back cover copy
In Techniques of Model-Based Control, two leading experts bring together powerful advances in model-based control for chemical-process engineering. Coleman Brosilow and Babu Joseph focus on practical approaches designed to solve real-world problems, and they offer extensive examples and exercises.
The nature of the process-control problem and how model-based solutions help to solve it Continuous time modeling: time domain, Laplace domain, and FOPDT modelsFeedforward, cascade, override, and single-variable inferential control approachesOne and two degree of freedom Internal Model ControlModel State Feedback and PI/PID Implementations of IMCTuning and synthesis of 1DF and 2DF IMC for process uncertaintyEstimation and inferential control using multiple secondary measurementsBasic and advanced techniques of model identification and model-predictive control
The appendices review the basics of Laplace transforms, feedback control, frequency response analysis, probability, random variables, and linear least-square regression.
From start to finish, Techniques of Model-Based Control offers the real-world insight that professionals need to identify and implement the best control strategies for virtually any process.
Table of contents
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.
About Babu Joseph
BABU JOSEPH is currently Edward D. Dicke Professor of Chemical Engineering at Washington University in St. Louis, where he teaches and does research in process control and related fields. He will be assuming the position of Chair, Chemical Engineering Department at the University of South Florida, in Tampa, in January of 2002. He is the author of Real Time Personal Computing (Prentice Hall) and co-editor of Wavelet Applications in Chemical Engineering (Kluwer-Academic). He has taught short courses for AIChE and is currently serving as a Director of the Computing and Systems Technology Division, on a three-year term. He can be found on the Web at joseph.wustl.edu