Output feedback stochastic nonlinear model predictive control for batch processes

•Formulation of algorithm for output feedback stochastic nonlinear model predictive control using polynomial chaos expansions.•Considers uncertainties from parameters, additive disturbances and state estimation errors.•Nonlinear probabilistic objective and chance constraints.•Algorithm is verified o...

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Vydané v:	Computers & chemical engineering Ročník 126; s. 434 - 450
Hlavní autori:	Bradford, Eric, Imsland, Lars
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 12.07.2019
Predmet:	Model-based nonlinear control Polymerization Polynomial chaos expansions Probabilistic constraints Stochastic parameters Uncertain dynamic systems Polymerization Polynomial chaos expansions Probabilistic constraints Stochastic parameters Model-based nonlinear control Uncertain dynamic systems
ISSN:	0098-1354
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