Now showing items 1-4 of 4
Obtaining the Best Model Predictions and Parameter Estimates Using Limited Data
Engineers who develop fundamental models for chemical processes are often unable to estimate all of the model parameters due to problems with parameter identifiability and estimability. The literature concerning these two ...
Modeling of Molecular Weight Distributions in Ziegler-Natta Catalyzed Ethylene Copolymerizations
The objective of this work is to develop mathematical models to predict molecular weight distributions (MWDs) of ethylene copolymers produced in an industrial gas-phase reactor using a Ziegler-Natta (Z-N) catalyst. Because ...
MATHEMATICAL MODELING OF ARBORESCENT POLYISOBUTYLENE PRODUCTION IN BATCH REACTOR USING NOVEL MATERIAL BALANCE AND MONTE CARLO METHODS
Four mathematical models have been developed to describe copolymerization of inimer and isobutylene via living carbocationic polymerization in batch reactors. In this system, there are six different propagation rate constants ...
Parameter Estimation Techniques for Nonlinear Dynamic Models with Limited Data, Process Disturbances and Modeling Errors
In this thesis appropriate statistical methods to overcome two types of problems that occur during parameter estimation in chemical engineering systems are studied. The first problem is having too many parameters to estimate ...