Process Dynamics and Control: Modeling for Control and Prediction

Roffel, Brian

Process Dynamics and Control: Modeling for Control and Prediction - Chichester John Wiley and Sons 2006 - 543p

Introduction to Process Modeling Process Modeling Fundamentals Extended Analysis of Modeling for Process Operation Design for Process Modeling and Behavioral Models Transformation Techniques Linearization of Model Equations Operating Points Process Simulation Frequency Response Analysis General Process Behavior Analysis of a Mixing Process Dynamics of Chemical Stirred Tank Reactors Dynamic Analysis of Tubular Reactors Dynamic Analysis of Heat Exchangers Dynamics of Evaporators and Separators Dynamic Modeling of Distillation of Columns Dynamic Analysis of Fermentation Reactors Physiological Modeling: Glucose Insulin Dynamics and Cardiovascular Modeling Introduction to Black Box Modeling Basics of Linear Algebra Data Conditioning Principal Component Analysis Partial Least Squares Time Series Identification Discrete Linear and Non Linear State Space Modeling Model Reduction Neural Networks Fuzzy Modeling Neuro Fuzzy Modeling Hybrid Models Introduction to Process Control and Instrumentation Behaviour of Controlled Processes Design of Control Processes Design of Control Schemes Control of Distillation Columns Control of a Fluid Catalytic Cracker Appendix - A: Modeling an Extraction Process A1: Problem Analysis A2: Dynamic Process Model Development A3: Dynamic Process Model Analysis A4: Dynamic Process Simulation A5: Process Control Simulation Hints

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Chemical Engineering

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