Dynamics and nonlinear control of integrated process systems

by Baldea, Michael

Type Book

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Title Statements

Full title :Dynamics and nonlinear control of integrated process systems / Michael Baldea, Prodromos Daoutidis.

Summary

"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."

Edition Statements

Publication Date:cop. 2012.

Publication Statements

Publisher(s):Cambridge University Press
Place of Publication:Cambridge
Language:eng
Publication Date:cop. 2012.

The Physical Object

Description:1 vol. (XIII-257 p.) : : ill. couv. ill. en coul. ; : 25 cm.

Edition Identifiers

ISBN:9780521191708, 052119170X
oclc:ocn867981910
LC Classification:TP155.75
Dewey Decimal:515/.724

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.