Jose A. Romagnoli, Ahmet Palazoglu

Introduction to Process Control (eBook, PDF)

• Format: PDF

Produktbeschreibung

This new edition continues to blend conventional topics with a broader perspective of integrated process operation, control, and information systems. Updated throughout, it addresses issues relevant to today's teaching and discusses smart manufacturing, new data preprocessing techniques, and machine learning and artificial intelligence concepts.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 740
• Erscheinungstermin: 14. Juli 2020
• Englisch
• ISBN-13: 9781000078930
• Artikelnr.: 59751297

Autorenporträt

Jose A. Romagnoli holds the Cain Chair in Process Systems Engineering in the Department of Chemical Engineering and is the director of the Laboratory for Process Systems Engineering at Louisiana State University. He earned a PhD in chemical engineering from the University of Minnesota. Dr. Romagnoli has authored more than 300 international publications and was awarded the Centenary Medal of Australia for his contributions to chemical engineering. His research covers all aspects of process systems engineering, including data processing and reconciliation, modeling of complex systems, advanced model-based control, intelligent process monitoring and supervision, and plant-wide optimization.

Ahmet Palazoglu is a professor of chemical engineering and materials science at the University of California, Davis. He earned a PhD in chemical engineering from Rensselaer Polytechnic Institute. Dr. Palazoglu has authored more than 150 publications and has taught short courses to academic and industrial audiences on process monitoring applications. His research interests include process control, nonlinear dynamics, process monitoring, and statistical modeling.

Inhaltsangabe

Part I: Introduction. 1. Why Process Control? 2. Definitions and
Terminology. Part II: Modeling for Control. 3. Basic Concepts in Modeling.
4. Development of Models from Fundamental Laws. 5. Input-Output Models. 6.
Models from Process Data. Part III: Process Analysis. 7. Stability. 8.
Dynamic Performance. 9. Frequency Response. Part IV: Feedback Control. 10.
Basic Elements of Feedback Control. 11. Stability Analysis of Closed-Loop
Processes. 12. Feedback Control Design. Part V: Model-Based Control. 13.
Model-Based Control. 14. Model Uncertainty and Robustness. 15. Model
Predictive Control. Part VI: Multivariable Control. 16. Multivariable
Systems. 17. Multivariable Systems. 18. Design of Multivariable
Controllers. Part VII: Control in Modern Manufacturing. 19. Practical
Control of Nonlinear Processes. 20. Process Optimization and Control. 21.
Industrial Control Technology. 22. Role of Process Control in Modern
Manufacturing. 23. Data Processing and Reconciliation. 24. Process
Monitoring.