Process Modelling and Model Analysis
- John Perkins, Imperial College, London, U.K.
- George Stephanopoulos, Massachusetts Institute of Technology, Cambridge, U.S.A.
- Ian Cameron, School of Chemical Engineering, University of Queensland, Brisbane, Australia
- Katalin Hangos, Systems and Control Laboratory, Computer and Automation Institute, Hungarian Academy of Sciences, Budapest, Hungary
Undergraduate and graduate students in chemical, process, environmental, or control engineering. Professionals engineers in industry and government.
- Published: May 2001
- Imprint: ACADEMIC PRESS
- ISBN: 978-0-12-156931-0
Table of Contents
FUNDAMENTAL PRINCIPLES AND PROCESS MODEL DEVELOPMENT
The Role of Models in Process Systems Engineering; A Systematic Approach to Model Building; Conservation Principles; Constitutive Relations; Dynamic Models - Lumped Parameter Systems; Solution Strategies for Lumped Parameter Models; Dynamic Models - Distributed Parameter SystemsSolution Strategies for Distributed Parameter Systems; Process Model Hierarchies
ADVANCED PROCESS MODELING AND MODEL ANALYSIS
Basic Tools for Process Model Analysis; Data Acquisition and Analysis; Statistical Model Calibration and Validation; Analysis of Dynamic Process Models; Process Modeling for Control and Diagnostic Purposes; Modeling Discrete Event Systems; Modeling Hybrid Systems; Modeling Applications in Process Systems; Computer Aided Process Modeling; Empirical Model Building; Appendix: Basic Mathematic Tools; Bibliography; Index