BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Process Dynamics and Control: Modeling for Control and Prediction

Process Dynamics and Control: Modeling for Control and Prediction

Process Dynamics and Control: Modeling for Control and Prediction
Stock photo: cover may vary

Process Dynamics and Control: Modeling for Control and Prediction Paperback - 2007

by Roffel, Brian

Add to wish list
  • Used
  • Good
  • Paperback
Used - Good

Description

paperback. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book.
Ask the seller a question Add to wish list
A$171.28
Free Delivery within USA
Standard delivery: 7 to 14 days
More delivery options
Dropship order
Ships from Bonita (California, United States)

Details

  • Title Process Dynamics and Control: Modeling for Control and Prediction
  • Author Roffel, Brian
  • Binding Paperback
  • Edition U. S. EDITION
  • Condition Used - Good
  • Pages 560
  • Volumes 1
  • Language ENG
  • Publisher Wiley, Chichester, UK
  • Publication date 2007-01-02
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index
  • Bookseller's Inventory # 0470016647.G
  • ISBN 9780470016640 / 0470016647
  • Weight 2.28 lbs (1.03 kg)
  • Dimensions 9.56 x 6.63 x 1.26 in (24.28 x 16.84 x 3.20 cm)
  • Category Technology & Industrial Arts
  • Library of Congress subjects Chemical process control
  • Library of Congress Catalogue Number 2006019140
  • Dewey Decimal Code 660.281
  • Quantity available 1

About Bonita California, United States

Biblio member since 2020

Terms of Sale: 30 day return guarantee, with full refund including original shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from Bonita

Reader reviews for Process Dynamics and Control: Modeling for Control and Prediction

From the publisher

Dieser dreigeteilte Band fhrt Sie umfassend in Modellierungsverfahren zur Beschreibung und Steuerung von Prozessen ein. Im Mittelpunkt des ersten Teil stehen physikalische Modelle, der zweite Teil befasst sich mit empirischen Modellen und der letzte Teil errtert die Entwicklung von Lsungen zur Prozesssteuerung. Alle im Buch besprochenen Prozesse und Verfahren werden mit MATLAB simuliert. Eine zugehrige Website bietet zustzliche durchgearbeitete Beispiele und Referenzen.

From the rear cover

Process Dynamics and Control: Modeling for Control and Prediction is a comprehensive and practical overview of modeling that is divided into three broad parts. The first part deals with developing physical models, the second part with developing empirical models and the final part discusses developing process control solutions.

Taking a unique approach to the subject the book includes both physical and empirical modeling as well as discussing developing control schemes for entire process plants. Theory is discussed where needed to ensure students have a full understanding of key techniques that are used to solve a modeling problem.

MATLAB is used throughout the book as the standard for developing process models of limited complexity. In this way, the reader can study the detailed process dynamics and compare it to the linearized and approximated process dynamics. Models of different process units have been developed and are available as a source for further model development.

An invaluable resource for students of chemical engineering and other related engineering courses. The book will also be of interest to practitioners of process control.

  • integrated approach focusing on both physical and empirical modelling
  • includes MATLAB simulation examples of all processes and modelling techniques discussed throughout the text
  • includes discussion on developing control schemes for entire process plants
  • supplementary website featuring figures from the book and further references

For MATLAB product information, please contact:

The MathWorks, Inc., 3 Apple Drive, Natick, MA. 01760-2098 USA

About the author

Professor Brian Roffel, University of Twente, The Netherland
sProfessor Roffel has been teaching researching and managing research in the areas of analysis, simulation, control and optimization of process for over twenty years. In addition twelve years spent working in the chemical process industry gives his theoretical knowledge a practical grounding. Professor Roffel is part of a consortium of eight European Universities working on nonlinear multivariable control. He has also been involved in the practical implementation of advanced control in the chemical industry, in particular multivariable control and optimization.

Dr.Ben H. L. Betlem, University of Twente, The Netherlands.

tracking-