Nonlinear Model Based Process Control
By: edited by Ridvan Berber, Costas Kravaris
Contributors: Kravaris, Costas
Series: NATO ASI Series, Series E: Applied Sciences -- 353; NATO ASI Series, Series E: Applied Sciences -- 353
Publisher: Springer Netherlands
Published: 1998
Place of publication: Dordrecht
Language: eng
Format: [electronic resource] /
Number of pages: 1447
ISBN-13: 9789401061407; 9789401150941
Subjects: Computer engineering; Chemistry; Mathematical optimization; Mechanical engineering; Chemical engineering
Other titles: Proceedings of the NATO Advanced Study Institute, Antalya, Turkey, August 10-20, 1997
Description: The increasingly competitive environment within which modern industry has to work means that processes have to be operated over a wider range of conditions in order to meet constantly changing performance targets. Add to this the fact that many industrial operations are nonlinear, and the need for on-line control algorithms for nonlinear processes becomes clear. Major progress has been booked in constrained model-based control and important issues of nonlinear process control have been solved. The present book surveys the state of the art in nonlinear model-based control technology, by writers who have actually created the scientific profile. A broad range of issues are covered in depth, from traditional nonlinear approaches to nonlinear model predictive control, from nonlinear process identification and state estimation to control-integrated design. Recent advances in the control of inverse response and unstable processes are presented. Comparisons with linear control are given, and case studies are used for illustration.
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