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.Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
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Books | PK Kelkar Library, IIT Kanpur | General Stacks | 629.8 N731 (Browse shelf) | Available | A186071 |
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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