Introduction to Process Control - Romagnoli, Jose A; Palazoglu, Ahmet
194,99 €
inkl. MwSt.
Versandkostenfrei*
Versandfertig in über 4 Wochen
  • Gebundenes Buch

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.

Andere Kunden interessierten sich auch für
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.
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.