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Identification of Multivariable Industrial Processes : for Simulation, Diagnosis and Control /

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Identification of Multivariable Industrial Processes presents a unified approach to multivariable industrial process identification. It concentrates on industrial processes with reference to model applications. The areas covered are experiment design, model structure selection, parameter estimation...

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Bibliographic Details
Main Author: Zhu, Yucai
Corporate Author: SpringerLink (Online service)
Other Authors: Backx, Ton
Format: eBook
Language:English
Published: London : Springer London, 1993.
Series:Advances in industrial control.
Subjects:
Engineering.
Computer input-output equipment.
Software engineering.
Machinery.
Business planning.
Electronic books.
Computers.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Introduction
  • Linear Models of Dynamic Processes and Signals
  • Identification Experiments and Data Pre-Treatment
  • Identification by the Least-Squares Method
  • Extensions of the Least-Squares Method
  • MIMO Process Identification: A Markov Parameter Approach
  • Identification for Robust Control; SISO Case
  • Identification for Robust Control; MIMO Case
  • Identification and Robust Control of the Glass Tube Process
  • Identification for Fault Diagnosis; Estimation of Continuous-Time Models.