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Multivariable System Identification for Process Control

Multivariable System Identification for Process Control

Multivariable System Identification for Process Control Hardback - 2001 - 1st Edition

by Yucai Zhu

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Hardcover. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; 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 sound scientific theory, to process ide
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Details

  • Title Multivariable System Identification for Process Control
  • Author Yucai Zhu
  • Binding Hardback
  • Edition number 1st
  • Edition 1
  • Condition New
  • Pages 372
  • Volumes 1
  • Language ENG
  • Publisher Elsevier
  • Publication date 2001-10-08
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index
  • Bookseller's Inventory # ria9780080439853_inp
  • ISBN 9780080439853 / 0080439853
  • Weight 1.9 lbs (0.86 kg)
  • Dimensions 10 x 7 x 0.88 in (25.40 x 17.78 x 2.24 cm)
  • Category Computers - General Information
  • Library of Congress subjects Process control, System identification
  • Library of Congress Catalogue Number 2001036655
  • Dewey Decimal Code 670.427
  • Quantity available 906

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From the publisher

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.

First line

System. A system is a collection of objects arranged in an ordered form to serve some purpose.

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