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Nonlinear process control

Contributor(s): Henson, Michael A.[ed.] | Seborg, Dale E.[ed.].
Publisher: New Jersey Prentice Hall 1997Description: xii, 432p.ISBN: 9780136251798.Subject(s): Nonlinear control theory | Automatic control | Chemical process controlDDC classification: 629.8 | N731 Summary: Chemical engineers assemble the theoretical and practical research on the design, analysis, and application of nonlinear process control strategies, much easier of late because of model- based approaches and more inexpensive and powerful computers. They outline the issues driving the research and several classic techniques, and provide a detailed introduction to nonlinear process modeling. Then they describe the two leading approaches of input/output linearization and nonlinear predictive control, show how to design state observers that permit control even if on-line measurements of all state variables cannot be obtained, and discuss new techniques for developing empirical models using artificial neural networks. Annotation c. by Book News, Inc., Portland, Or.
List(s) this item appears in: New arrival list Jan 16 to Feb 05, 2023
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Item type Current location Collection Call number Status Date due Barcode Item holds
Books Books PK Kelkar Library, IIT Kanpur
General Stacks 629.8 N731 (Browse shelf) Available A186071
Total holds: 0

Chemical engineers assemble the theoretical and practical research on the design, analysis, and application of nonlinear process control strategies, much easier of late because of model- based approaches and more inexpensive and powerful computers. They outline the issues driving the research and several classic techniques, and provide a detailed introduction to nonlinear process modeling. Then they describe the two leading approaches of input/output linearization and nonlinear predictive control, show how to design state observers that permit control even if on-line measurements of all state variables cannot be obtained, and discuss new techniques for developing empirical models using artificial neural networks. Annotation c. by Book News, Inc., Portland, Or.

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