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Multivariable system identification for process control /
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 development...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam ; New York :
Pergamon,
2001.
|
| Edición: | 1st ed. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Zhu, Yucai, |d 1960- | |
| 245 | 1 | 0 | |a Multivariable system identification for process control / |c Yucai Zhu. |
| 250 | |a 1st ed. | ||
| 260 | |a Amsterdam ; |a New York : |b Pergamon, |c 2001. | ||
| 300 | |a 1 online resource (xxi, 349 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 520 | |a 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 Control</IT> 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<SUP> & trade;</SUP> M-files, designed to help the reader to learn identification in a computing environment, are included. | ||
| 505 | 0 | |a 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. | |
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 546 | |a English. | ||
| 650 | 0 | |a Process control. | |
| 650 | 0 | |a System identification. | |
| 650 | 6 | |a Fabrication |x Contr�ole. |0 (CaQQLa)201-0039314 | |
| 650 | 6 | |a Identification des syst�emes. |0 (CaQQLa)201-0021667 | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Industrial Engineering. |2 bisacsh | |
| 650 | 7 | |a Process control |2 fast |0 (OCoLC)fst01078020 | |
| 650 | 7 | |a System identification |2 fast |0 (OCoLC)fst01141418 | |
| 776 | 0 | 8 | |i Print version: |a Zhu, Yucai, 1960- |t Multivariable system identification for process control. |b 1st ed. |d Amsterdam ; New York : Pergamon, 2001 |z 0080439853 |z 9780080439853 |w (DLC) 2001036655 |w (OCoLC)47443820 |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780080439853 |z Texto completo |