Multivariable System Identification For Process Control

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9780080439853: 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 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 ™ M-files, designed to help the reader to learn identification in a computing environment, are included.

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Yucai Zhu
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ISBN 10: 0080439853 ISBN 13: 9780080439853
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Book Description ELSEVIER SCIENCE TECHNOLOGY, United Kingdom, 2001. Hardback. Book Condition: New. 246 x 172 mm. Language: English . Brand New Book. 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. Bookseller Inventory # AA59780080439853

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Yucai Zhu
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Book Description ELSEVIER SCIENCE TECHNOLOGY, United Kingdom, 2001. Hardback. Book Condition: New. 246 x 172 mm. Language: English . Brand New Book. 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. Bookseller Inventory # AA59780080439853

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Book Description Elsevier Science Ltd, 2001. Hardcover. Book Condition: Brand New. 1st edition. 349 pages. 9.50x6.75x0.75 inches. In Stock. Bookseller Inventory # __0080439853

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Book Description Elsevier Science, 2001. Hardback. Book Condition: NEW. 9780080439853 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. Bookseller Inventory # HTANDREE0889523

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