BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Multivariable System Identification For Process Control

Multivariable System Identification For Process Control

Multivariable System Identification For Process Control
Stock photo: cover may vary

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

by Yucai Zhu; Y. Zhu; Martin Ruck (Editor)

Add to wish list
  • New
New

Description

new.
Ask the seller a question Add to wish list
A$570.76
A$5.74 Delivery within USA
Standard delivery: 2 to 14 days
More delivery options
Ships from GreatBookPrices (Maryland, United States)

Details

  • Title Multivariable System Identification For Process Control
  • Author Yucai Zhu; Y. Zhu; Martin Ruck (Editor)
  • 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 # 1614714-n
  • 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 5

About GreatBookPrices Maryland, United States

Biblio member since 2024

Since 1991, we have worked every day to serve our customers with state-of-the-art technology and world class service. We are dedicated to providing customers around the world with the widest selection of books, DVDs, and CDs at the absolute lowest price.

Terms of Sale: 30 day return guarantee, with full refund including original shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from GreatBookPrices

Reader reviews for Multivariable System Identification For Process Control

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.
tracking-