Nonlinear Model Based Process Control
- ISBN-10
- 0792352203
- ISBN-13
- 9780792352204
- Category
- Nonlinear control theory
- Pages
- 896
- Language
- English
- Published
- 1998
- Publisher
- Springer Science & Business Media
- Authors
- Costas Kravaris, Rıdvan Berber
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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