Dynamic Model Development: Methods, Theory and Applications
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Dynamic Model Development: Methods, Theory and Applications
Macchietto, S. (Imperial College, London, U.K.)
Elsevier Science & Technology
07/2003
266
Dura
Inglês
9780444514653
15 a 20 dias
Detailed mathematical models are being used by companies to gain competitive advantage through such applications as model-based process design, control and optimization. This book covers statistical methods applied to process modelling. It presents examples of applying advanced statistical and modelling methods to real process systems problems.
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
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Detailed mathematical models are being used by companies to gain competitive advantage through such applications as model-based process design, control and optimization. This book covers statistical methods applied to process modelling. It presents examples of applying advanced statistical and modelling methods to real process systems problems.
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
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
