Process Dynamics and Control - Brian Roffel
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Présentation Process Dynamics And Control de Brian Roffel Format Broché
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Résumé :
Dieser dreigeteilte Band f?hrt Sie umfassend in Modellierungsverfahren zur Beschreibung und Steuerung von Prozessen ein. Im Mittelpunkt des ersten Teil stehen physikalische Modelle, der zweite Teil befasst sich mit empirischen Modellen und der letzte Teil er?rtert die Entwicklung von L?sungen zur Prozesssteuerung. Alle im Buch besprochenen Prozesse und Verfahren werden mit MATLAB simuliert. Eine zugeh?rige Website bietet zus?tzliche durchgearbeitete Beispiele und Referenzen....
Biographie: Dr.Ben H. L. Betlem, University of Twente, The Netherlands.
Professor Brian Roffel, University of Twente, The Netherland
sProfessor Roffel has been teaching researching and managing research in the areas of analysis, simulation, control and optimization of process for over twenty years. In addition twelve years spent working in the chemical process industry gives his theoretical knowledge a practical grounding. Professor Roffel is part of a consortium of eight European Universities working on nonlinear multivariable control. He has also been involved in the practical implementation of advanced control in the chemical industry, in particular multivariable control and optimization.
Sommaire: Preface. Acknowledgement. 1? Introduction to Process Modelling. 2? Process Modelling Fundamentals. 3? Extended Analysis of Modelling for Process Operation. 4? Design for Process Modelling and Behavioural Models. 5 Transformation Techniques. 6 Linearization of Model Equations. 7 Operating points. 8 Process Simulation. 9? Frequency Response Analysis. References. 10? General Process Behaviour 11 Analysis of a Mixing Process. 12 Dynamics of Chemical Stirred Tank Reactors. 13 Dynamic Analysis of Tubular Reactors. 14 Dynamic Analysis of Heat Exchangers. 15 Dynamics of Evaporators and Separators. 16 Dynamic Modelling of Distillation Columns. 17 Dynamic Analysis of Fermentation Reactors 18 Physiological Modeling: Glucose-Insulin Dynamics and Cardiovascular Modelling. 19 Introduction to Black Box Modelling. 20 Basics of Linear Algebra. 21 Data Conditioning. 22 Principal Component Analysis 23 Partial Least Squares 24 Time-series Identification. 25? Discrete Linear and Non-linear State Space Modelling. 26 Model Reduction. 27? Neural Networks. 28? Fuzzy Modelling. 29? Neuro Fuzzy Modelling. 30? Hybrid Models. 31? Introduction to Process Control and Instrumentation. 32 Behaviour of Controlled Processes. 33 Design of Control Schemes. 34? Control of Distillation Columns. 35 ? Control of a Fluid Catalytic Cracker. Appendix A.? Modelling 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. Index.
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