Process Dynamics and Control: Modeling for Control and Prediction - Hardcover

Über die Autorin bzw. den Autor

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.

Von der hinteren Coverseite

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

Aus dem Klappentext

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