Advanced practical process control / B. Roffel, B.H. Betlem

Por: Roffel, BTipo de material: TextoTextoDetalles de publicación: Berlin : Springer, 2004 Descripción: IX, 309 p. : gráf. ; 24 cm + 1 disco compactoISBN: 3-540-40480-5Tema(s): Control industrial | Tecnología electrónicaResumen: An application-oriented approach to process control. The reference text systematically explains process identification, control and optimization, the three key steps needed to solve a multivariable control problem. Theory is discussed as far as it is needed to understand and solve the defined problem, while numerous examples written in MATLAB illustrate the problem-solving approach. A new software package for linear multivariable process identification and control is included with the book on CD-ROM. This package combines unique features of some multivariable control tools, while a detailed description of this software package is included in a separate appendix.Resumen: INDICE: Introduction to Advanced Process Control Concepts.- Process Simulation.- Process Modeling and Identification.- Identification Examples.- Linear Multivariable Control.- Multivariable Optimal Constraint Control Algorithm.- Internal Model Control.- Nonlinear Multivariable Control.- Optimization of Process Operation.- Optimization Examples.- Integration of Control and Optimization.- Appendix I: MCPS Software Guide.- Appendix II: Comparison of Control Strategies for a Hollow Shaft Reactor.
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An application-oriented approach to process control. The reference text systematically explains process identification, control and optimization, the three key steps needed to solve a multivariable control problem. Theory is discussed as far as it is needed to understand and solve the defined problem, while numerous examples written in MATLAB illustrate the problem-solving approach. A new software package for linear multivariable process identification and control is included with the book on CD-ROM. This package combines unique features of some multivariable control tools, while a detailed description of this software package is included in a separate appendix.

INDICE: Introduction to Advanced Process Control Concepts.- Process Simulation.- Process Modeling and Identification.- Identification Examples.- Linear Multivariable Control.- Multivariable Optimal Constraint Control Algorithm.- Internal Model Control.- Nonlinear Multivariable Control.- Optimization of Process Operation.- Optimization Examples.- Integration of Control and Optimization.- Appendix I: MCPS Software Guide.- Appendix II: Comparison of Control Strategies for a Hollow Shaft Reactor.

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