Buch, Englisch, 229 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1210 g
A Unified Framework Using Standard Black-box Techniques
Buch, Englisch, 229 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1210 g
Reihe: Advances in Industrial Control
ISBN: 978-1-85233-918-0
Verlag: Springer
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.
Zielgruppe
Academics interested in the applications of control and system models and control design, practising engineers looking to improve their process models and control methods for continuous processes, libraries
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Überwachungstechnik
- Mathematik | Informatik EDV | Informatik Informatik
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Grafikprogrammierung
- Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik
Weitere Infos & Material
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.