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Dynamic Model Development, Vol. 16 Book

Dynamic Model Development, Vol. 16
Dynamic Model Development, Vol. 16, Detailed mathematical models are increasingly being used by companies to gain competitive advantage through such applications as model-based process design, control and optimization. Thus, building various types of high quality models for processing syste, Dynamic Model Development, Vol. 16 has a rating of 3.5 stars
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Dynamic Model Development, Vol. 16, Detailed mathematical models are increasingly being used by companies to gain competitive advantage through such applications as model-based process design, control and optimization. Thus, building various types of high quality models for processing syste, Dynamic Model Development, Vol. 16
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  • Dynamic Model Development, Vol. 16
  • Written by author S. Macchietto
  • Published by Elsevier Science, August 2003
  • Detailed mathematical models are increasingly being used by companies to gain competitive advantage through such applications as model-based process design, control and optimization. Thus, building various types of high quality models for processing syste
  • Detailed mathematical models are increasingly being used by companies to gain competitive advantage through such applications as model-based process design, control and optimization. Thus, building various types of high quality models for processing syste
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Book Categories

Authors

Foreword
Methodological Aspects in the Modelling of Novel Unit Operations1
Dynamic Modelling, Nonlinear Parameter Fitting and Sensitivity Analysis of a Living Free-Radical Polymerisation Reactor21
An Investigation of Some Tools for Process Model Identification for Prediction41
Multivariate Weighted Least Squares as an Alternative to the Determinant Criterion for Multiresponse Parameter Estimation63
Model Selection: An Overview of Practices in Chemical Engineering85
Statistical Dynamic Model Building: Applications of Semi-infinite Programming105
Non-constant Variance and the Design of Experiments for Chemical Kinetic Models141
A Continuous-Time Hammerstein Approach Working with Statistical Experimental Design159
Process Design Under Uncertainty: Robustness Criteria and Value of Information175
A Modelling Tool for Different Stages of the Process Life209
Appendix238
Other Papers Presented at the Workshop251
Author Index253
Subject Index255


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Dynamic Model Development, Vol. 16, Detailed mathematical models are increasingly being used by companies to gain competitive advantage through such applications as model-based process design, control and optimization. Thus, building various types of high quality models for processing syste, Dynamic Model Development, Vol. 16

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