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Multivariable system identification for process control

Author: Yucai Zhu
Publisher: Amsterdam ; New York : Pergamon, 2001.
Edition/Format:   eBook : Document : English : 1st edView all editions and formats
Summary:
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 <IT>Multivariable System Identification for Process  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Zhu, Yucai, 1960-
Multivariable system identification for process control.
Amsterdam ; New York : Pergamon, 2001
(DLC) 2001036655
(OCoLC)47443820
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Yucai Zhu
ISBN: 9780080439853 0080439853 9780080537115 0080537111
OCLC Number: 162566957
Description: 1 online resource (xxi, 349 pages) : illustrations
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.
Responsibility: Yucai Zhu.
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Abstract:

Systems and control theory has experienced significant development in the past few decades. This title bridges the gap between theory and application, and to provide industrial solutions, based on  Read more...

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