Worst-case and distributional robustness analysis of the full molecular weight distribution during free radical bulk polymerization

A novel approach is proposed to quantify the effects of parameter uncertainties on state distributions in finite-time nonlinear distributed parameter systems, and this approach is applied to a free radical bulk polymerization reactor. For worst-case uncertainty descriptions, parameters are computed...

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Hauptverfasser: Hukkanen, E.J., Braatz, R.D.
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description A novel approach is proposed to quantify the effects of parameter uncertainties on state distributions in finite-time nonlinear distributed parameter systems, and this approach is applied to a free radical bulk polymerization reactor. For worst-case uncertainty descriptions, parameters are computed that result in worst-case deviations in the monomer conversion, average molecular properties, and the full molecular weight distribution. For probabilistic uncertainty descriptions, a constructive procedure is provided for computing the stochastic distribution of the state distribution. This more sophisticated robustness analysis enables a deep investigation into the effects of parameter uncertainties, control implementation uncertainties, and disturbances for systems with state distributions.
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subjects Control systems
Distributed computing
Distributed parameter systems
Inductors
Polymers
Robust control
Robustness
Stochastic processes
Uncertain systems
Uncertainty
title Worst-case and distributional robustness analysis of the full molecular weight distribution during free radical bulk polymerization
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