Dynamics and nonlinear control of integrated process systems / Michael Baldea, TheUniversity of Texas at Austin, Prodromos Daoutidis, University of Minnesota.
Tipo de material: TextoIdioma: Inglés Series Cambridge series in chemical engineeringDetalles de publicación: Cambridge : Cambridge University Press, 2012.Descripción: xiii, 257 pages : illustrations ; 25 cmISBN:- 9780521191708
- 515/.724 23
- TP155.75 .B35 2012
- TEC009010
Tipo de ítem | Biblioteca actual | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras | Reserva de ítems | |
---|---|---|---|---|---|---|---|---|
Colección general | Biblioteca Yachay Tech | 515.724 B175 2012 (Navegar estantería(Abre debajo)) | Ej. 1 | Disponible | 002097 | |||
Colección general | Biblioteca Yachay Tech | 515.724 B175 2012 (Navegar estantería(Abre debajo)) | Ej. 2 | Disponible | 002098 | |||
Colección general | Biblioteca Yachay Tech | 515.724 B175 2012 (Navegar estantería(Abre debajo)) | Ej. 3 | Disponible | 002099 |
Includes bibliographical references (pages 246-255) and index.
Machine generated contents note: Part I. Preliminaries: 1. Introduction; 2. Singular perturbation theory; Part II. Process Systems with Material Integration: 3. Process systems with significant material recycling; 4. Process systems with purge streams; 5. Dynamics and control of generalized integrated process systems; Part III. Process Systems with Energy Integration: 6. Process systems with energy recycling; 7. Process systems with high energy throughput; References; Part IV. Appendices: A. Definitions; B. Systems with multiple time scale dynamics; C. MATLAB code.
"Presenting a systematic model reduction and hierarchical controller design framework for broad classes of integrated process systems encountered in practice, this book first studies process systems with large material recycle and/or with small purge streams, followed by systems with energy integration. Step-by-step model reduction procedures are developed to derive nonlinear reduced models of the dynamics in each time scale. Hierarchical control architectures consisting of coordinated levels of control action in different time scales are proposed for each class of process systems considered to enforce stability, tracking performance and disturbance rejection. Numerous process applications are discussed in detail to illustrate the application of the methods and their potential to improve process operations. MATLAB codes are also presented to guide further application of the methods developed and facilitate practical implementations"--
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