Multivariable System Identification For Process Control

Autor: Yucai Zhu

Limbă:

Legare: Copertă tare

Editura: Elsevier Science

Disponibilitate: În depozitul extern

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987.71 lei

Systems and control theory has experienced significant development in the past few decades. New tech...

Informații despre carte

Autor

Yucai Zhu

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2001

Pagini

372

EAN

9780080439853

ISBN

0080439853

Enbook ID

04490850

Editura

Elsevier Science

Greutate

830

Dimensiuni

178 x 264 x 38

Descriere completă

Systems and control theory has experienced significant development in the past few decades. New techniques have emerged which hold enormous potential for industrial applications, and which have therefore also attracted much interest from academic researchers. However, the impact of these developments on the process industries has been limited. The purpose of Multivariable System Identification for Process Control is to bridge the gap between theory and application, and to provide industrial solutions, based on sound scientific theory, to process identification problems. The book is organized in a reader-friendly way, starting with the simplest methods, and then gradually introducing more complex techniques. Thus, the reader is offered clear physical insight without recourse to large amounts of mathematics. Each method is covered in a single chapter or section, and experimental design is explained before any identification algorithms are discussed. The many simulation examples and industrial case studies demonstrate the power and efficiency of process identification, helping to make the theory more applicable. MatlabT M-files, designed to help the reader to learn identification in a computing environment, are included.

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Multivariable System Identification For Process Control

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