Hybrid Gaussian process modeling applied to economic stochastic model predictive control of batch processes

DOI10.1007/978-3-030-63281-6_8zbMath1471.93079arXiv2108.06430OpenAlexW3155517878MaRDI QIDQ1980571

E. A. del Rio-Chanona, Marcus Reble, Lars Imsland, Eric Bradford

Publication date: 8 September 2021

Full work available at URL: https://arxiv.org/abs/2108.06430

zbMATH Keywords

nonlinear model predictive controlGaussian process modeling

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Stochastic systems in control theory (general) (93E03) Biotechnology (92C75) Model predictive control (93B45)

Related Items (1)

A model‐and data‐driven predictive control approach for tracking of stochastic nonlinear systems using Gaussian processes

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