In Process Control, a wide range of identification and control methods applicable to processes are accompanied by typical comparable examples, encouraging you to make comparisons.
The initial classical approach to continuous control by transfer functions will be of enormous benefit, whether you are a student beginning in control or an engineer in industry who, up until now, has only had a superficial or empirical contact with control. The more advanced material on discrete control and state-space control, as well as nonlinear control and observers, requires minimal previous knowledge, allowing you to make better use of techniques with proven performance.
• Introduces concepts of progressively increasing difficulty, smoothing the path to learning the more advanced theories and control methods.
• For each topic, the theories, techniques and algorithms are presented in detail, with numberous references.
• The comparative consideration of different approaches to similar problems deepens your understanding.
• Examples that you can reproduce to master the different techniques.
Broad coverage creates an important synthesis of the spectrum of control theory and its process-industry-related applications. Different levels of reading are possible, opening this powerful source of information to engineers, academics, researchers and students alike.
|Edition description:||Softcover reprint of hardcover 1st ed. 2004|
|Product dimensions:||6.10(w) x 9.25(h) x 0.06(d)|
About the Author
Jean-Pierre Corriou is an author of three books: Commande des Procédés, Lavoisier, Paris, 766 pages (three editions, 3rd 2012), Process Control, Theory and application, Springer, London, 2004, 752 pages, and Méthodes numériques et optimisation, Lavoisier, Paris, 2010, 442 pages. He is also author of 106 articles in national and international journals, as well as a reviewer for many journals, and an associate editor in the International Journal of Chemical Engineering and Mathematical Methods in Engineering.
Table of Contents1. Dynamic Modelling of Chemical Processes.- 2. Linear Feedback Control.- 3. Stability Analysis.- 4. Design of Feedback Controllers.- 5. Frequency Analysis.- 6. Improvement of Control Systems.- 7. State Representation, Controllability and Observability.- 8. Multivariable Control by Transfer Function Matrix.- 9. Discrete-Time Generalities and Basic Signal Processing.- 10. Identification Principles.- 11. Models and Methods for Parametric Identification.- 12. Parametric Estimation Algorithms.- 13. Digital Control.- 14. Optimal Control.- 15. Generalized Predictive Control.- 16. Model Predictive Control.- 17. Nonlinear Geometric Control.- 18. State Observers.- 19. Nonlinear Control of Reactors with State Estimation.- 20. Distillation Column Control.- 21. Examples and Benchmarks of Typical Processes.