Multivariable System Identification for Process Control by Yucai Zhu (English) H

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Multivariable System Identification for Process Control by Yucai Zhu

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. Matlab(TM) M-files, designed to help the reader to learn identification in a computing environment, are included.

FORMAT
Hardcover LANGUAGE
English CONDITION
Brand New Publisher Description

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 (t) M-files, designed to help the reader to learn identification in a computing environment, are included.

Table of Contents

Chapter headings. Foreward. Preface. Symbols and Abbreviations. Introduction. Models of Dynamic Process and Signals. Identification Test Design and Data Pretreatment. Identification by the Least Squares Method. Extensions of the Least-Squares Method. Asymptotic method; SISO Case. Asymptotic Method; MIMO Case. Subspace Model Identification of MIMO Processes. Nonlinear Process Identification. Applications of Identification in Process Control. Model Based Fault Detection and Isolation. Refresher on Matrix Theory. Bibliography. Index.

Details ISBN0080439853 Author Yucai Zhu Short Title MULTIVARIABLE SYSTEM IDENTIFIC Pages 372 Language English ISBN-10 0080439853 ISBN-13 9780080439853 Media Book Format Hardcover DEWEY 670.427 Illustrations Yes Year 2001 Publication Date 2001-10-31 Imprint Elsevier Science Ltd Place of Publication Oxford Country of Publication United Kingdom Edition 1st Birth 1960 Publisher Elsevier Science DOI 10.1604/9780080439853 UK Release Date 2001-10-08 AU Release Date 2001-10-08 NZ Release Date 2001-10-08
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