Dynamic Model Development: Methods, Theory and Applications - 1st Edition - ISBN: 9780444514653, 9780080530574

Dynamic Model Development: Methods, Theory and Applications, Volume 16

1st Edition

Editors: S. Macchietto
Hardcover ISBN: 9780444514653
eBook ISBN: 9780080530574
Imprint: Elsevier Science
Published Date: 4th August 2003
Page Count: 266
Tax/VAT will be calculated at check-out
350.00
435.00
570.00
26400.00
Unavailable
Compatible Not compatible
VitalSource PC, Mac, iPhone & iPad Amazon Kindle eReader
ePub & PDF Apple & PC desktop. Mobile devices (Apple & Android) Amazon Kindle eReader
Mobi Amazon Kindle eReader Anything else

Institutional Access


Table of Contents

Methodological Aspects in the Modelling of Novel Unit Operations Dynamic Modelling, Nonlinear Parameter Fitting and Sensitivity Analysis of a Living Free-radical Polymerisation Reactor An Investigation of Some Tools for Process Model Identification for Prediction Multivariate Weighted Least Squares as an Alternative to the Determinant Criterion for Multiresponse Parameter Estimation Model Selection: An Overview of Practices in Chemical Engineering Statistical Dynamic Model Building: Applications of Semi-infinite Programming Non-constant Variance and the Design of Experiments for Chemical Kinetic Models A Continuous-Time Hammerstein Approach Working with Statistical Experimental Design Process Design Under Uncertainty: Robustness Criteria and value of information A Modelling Tool for Different Stages of the Process Life


Description

Methodological Aspects in the Modelling of Novel Unit Operations Dynamic Modelling, Nonlinear Parameter Fitting and Sensitivity Analysis of a Living Free-radical Polymerisation Reactor An Investigation of Some Tools for Process Model Identification for Prediction Multivariate Weighted Least Squares as an Alternative to the Determinant Criterion for Multiresponse Parameter Estimation Model Selection: An Overview of Practices in Chemical Engineering Statistical Dynamic Model Building: Applications of Semi-infinite Programming Non-constant Variance and the Design of Experiments for Chemical Kinetic Models A Continuous-Time Hammerstein Approach Working with Statistical Experimental Design Process Design Under Uncertainty: Robustness Criteria and value of information A Modelling Tool for Different Stages of the Process Life

Key Features

  • Contains wide coverage of statistical methods applied to process modelling
  • Serves as a recent compilation of dynamic model building tools
  • Presents several examples of applying advanced statistical and modelling methods to real process systems problems

Readership

Researchers and practitioners within the process industries and academia. Postgraduate and research students concerned with modeling principles in Chemical Engineering and/or Process Systems Engineering.


Details

No. of pages:
266
Language:
English
Copyright:
© Elsevier Science 2003
Published:
Imprint:
Elsevier Science
eBook ISBN:
9780080530574
Hardcover ISBN:
9780444514653

About the Editors

S. Macchietto Editor

Affiliations and Expertise

Imperial College, London, U.K.