Wiley Process Dynamics and Control: Modeling for Control and Prediction

Offering a different approach to other textbooks in the area, this book is a comprehensive introduction to the subject divided in three broad parts. The first part deals with building physical models, the second part with developing empirical models and the final part discusses developing process control solutions. Theory is discussed where needed to ensure students have a full understanding of key techniques that are used to solve a modeling problem. Hallmark Features:Includes worked out examples of processes where the theory learned early on in the text can be applied.Uses MATLAB simulation examples of all processes and modeling techniques- further information on MATLAB can be obtained from www.mathworks.comIncludes supplementary website to include further references, worked examples and figures from the bookThis book is structured and aimed at upper level undergraduate students within chemical engineering and other engineering disciplines looking for a comprehensive introduction to the subject. It is also of use to practitioners of process control where the integrated approach of physical and empirical modeling is particularly valuable. From the Inside Flap 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 modellingincludes MATLAB simulation examples of all processes and modelling techniques discussed throughout the textincludes discussion on developing control schemes for entire process plantssupplementary 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 From the Back 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 cont