Process modeling is one of the key aspects of process systems
engineering. It is a significant activity in most major companies around
the world, driven by applications such as process optimization, design,
and control.
Process Modeling and Modeling Analysis gives a comprehensive treatment
of process modeling for the student, researcher, and industrial practitioner.
It presents a systematic approach to modeling covering model
formulation, documentation, analysis, solution, and validation.
Process models depend not only on the process itself, but also on the modeling
goal. This book, therefore, places its main emphasis on process models
for dynamic simulation and process control purposes.
This book:
* Introduces a structured modeling methodology emphasizing the importance
of the modeling goal and including key steps such as model verification,
calibration, and validation.
* Focuses on novel and advanced modeling techniques such as discrete,
hybrid, hierarchical, and empirical modeling
* Illustrates the notions, tools, and techniques of process modeling
with examples and advances applications
Katalin Hangos is currently a Research Professor at the Computer
and Automation Research Institute, Hungary. She is one of the few woman
professors in process systems engineering with a strong background in systems
and control theory and computer science.
Dr Hangos' main interest is dynamic process modelling for control
and diagnosis purposes. She is co-author of more than 100 papers on various
aspects of modelling and its control applications including non-linear
and stochastic process system models, Petri nets, qualitative and graph-theoretical
models.
Ian Cameron is Reader in Chemical Engineering at The University
of Queensland with teaching, research and consultancy interests in process
systems engineering. He has a particular interest in process modelling,
dynamic simulation and the application of advaneed numerical methods to
large-scale process systems. He has devg extensive industrial experience
in these areas. He continues to work closely with industry and government
on systems approaches to process and risk management problems, as well
as the development of internet based tools for process systems applications.
Read more about the book: http://daisy.cheque.uq.edu.au/cape/modbook/
