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Process Modelling for Control concentrates on the modelling steps underlying a successful control design, answering questions like:
How should I carry out the identification of my process to obtain a good model?
How can I assess the quality of a model before to using it in control design?
How can I ensure that a controller will stabilise a real process well enough before implementation?
What is the most efficient method of order reduction to simplify the implementation of high-order controllers?
System identification, model/controller validation and order reduction are studied in a common framework. Detailed worked examples, representative of various industrial applications, are given.
This monograph uses mathematics convenient to researchers interested in real applications and to practising engineers interested in control theory. It enables control engineers to improve their methods and provides academics and graduate students with an all-round view of recent results in modelling for control.
List of contents
Preliminary Material.- Identification in Closed Loop for Better Control Design.- Dealing with Controller Singularities in Closed-loop Identification.- Model and Controller Validation for Robust Control in a Prediction-error Framework.- Control-oriented Model Reduction and Controller Reduction.- Some Final Words.
About the author
Doctor Codrons is ideally suited to authorship in the
Advances in Industrial Control Series having both academic and industrial experience. He has worked for the large French electricity supply company Électricité de France and then a four-and-a-half-year academic appointment at the Université Catholique de Louvain studying control-oriented system modelling techniques. He now works for the research arm of the Belgian national supplier as a project leader in process control.
Summary
Process Modelling for Control concentrates on the modelling steps underlying a successful control design, answering questions like:
How should I carry out the identification of my process to obtain a good model?
How can I assess the quality of a model before to using it in control design?
How can I ensure that a controller will stabilise a real process well enough before implementation?
What is the most efficient method of order reduction to simplify the implementation of high-order controllers?
System identification, model/controller validation and order reduction are studied in a common framework. Detailed worked examples, representative of various industrial applications, are given.
This monograph uses mathematics convenient to researchers interested in real applications and to practising engineers interested in control theory. It enables control engineers to improve their methods and provides academics and graduate students with an all-round view of recent results in modelling for control.
Additional text
From the reviews:
“This book is unique in that it presents the first comprehensive study on identification of models for robust control design and validation. … Thus, the target audience for this book is mostly academics in the control field. … The book presents several numerical examples to illustrate the topics discussed and to confirm expected results. In general, I found the examples to be excellent in referring to practical situations that illustrate the theoretical arguments presented in the book.” (Hector M. Budman, IEEE Control Systems Magazine, Vol. 27, June, 2007)
Report
From the reviews:
"This book is unique in that it presents the first comprehensive study on identification of models for robust control design and validation. ... Thus, the target audience for this book is mostly academics in the control field. ... The book presents several numerical examples to illustrate the topics discussed and to confirm expected results. In general, I found the examples to be excellent in referring to practical situations that illustrate the theoretical arguments presented in the book." (Hector M. Budman, IEEE Control Systems Magazine, Vol. 27, June, 2007)
