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
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