Nonlinear Model Based Process Control

Nonlinear Model Based Process Control : Proceedings of the NATO Advanced Study Institute, Antalya, Turkey, August 10-20, 1997

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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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Product details

  • Hardback | 910 pages
  • 160 x 241.3 x 50.8mm | 1,360.79g
  • Dordrecht, Netherlands, United States
  • English
  • index
  • 0792352203
  • 9780792352204

Table of contents

Preface. I. Nonlinear Control Based on Linear Models. II. Nonlinear Model Based Controller Synthesis. III. On-Line Optimization Approaches for Nonlinear Control. IV. Nonlinear State and Parameter Estimation. V. Industrial Applications. Appendices. Index.
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