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Advanced Process Identification and Control

1,166

Authors: Enson Ikonen, Kaddour Najim

ISBN: 9780824706487

Copy Right Year:  2002

Pages:  328

Binding: Soft Cover

Publisher:  Taylor & Francis

SKU: 9780824706487 Categories: ,

Description

This state of the art reference/text presents the most recent techniques in advanced process modeling, identification, prediction, and parameter estimation for the implementation and analysis of industrial systems providing current applications for the identification of linear and nonlinear systems, the design of generalized predictive controllers (GPCs), and the control of multivariable systems.

Exploring fixed parameter and adaptive strategies as well as unconstrained and constrained identification and control of processes, Advanced Process Identification and Control discusses the design of power series, neural networks, and fuzzy systems the Wiener and Hammerstein systems the design of a multivariable GPC based on state representation selection of the most efficient input output pairing for the design of effective distributed controllers.

Additional information

Weight .44 kg
Dimensions 24 × 18 × 2 cm

Table of Content

I  Identification

Introduction to Identification

Linear Regression

Linear Dynamic Systems

Non linear Systems

Non linear Dynamic Structures

Estimation of Parameters

II Control

Predictive Control

Multivariable Systems

Time-Varying and Non linear Systems

III Appendices

State-Space Representation

Fluidized Bed Combustion

Bibliography

Index

About The Author

Enso Ikonen is a Senior Assistant at the Systems Engineering Laboratory, Department of Process and Environmental Engineering, University of Oulu, Finland, and an Academy Research Fellow of the Academy of Finland, Helsinki. The author or coauthor of numerous journal articles, book chapters, and books, he received the M.Sc. degree (1991) in process engineering, and the Licentiate (1994) and Ph.D., (1997) degrees in technology from the University of Oulu, Finland.

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