Recursively feasible stochastic model predictive control using indirect feedback

DOI10.1016/j.automatica.2020.109095zbMath1451.93096arXiv1812.06860OpenAlexW3037742481MaRDI QIDQ2207230

Kim P. Wabersich, Lukas Hewing, Melanie N. Zeilinger

Publication date: 22 October 2020

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1812.06860

zbMATH Keywords

predictive controlchance constraintsstochastic model predictive control

Mathematics Subject Classification ID

Feedback control (93B52) Discrete-time control/observation systems (93C55) Linear systems in control theory (93C05) Stochastic systems in control theory (general) (93E03) Model predictive control (93B45)

Related Items (5)

Event-triggered predictive control of nonlinear stochastic systems with output delay ⋮ Stochastic model predictive control for linear systems with unbounded additive uncertainties ⋮ Minimization of constraint violation probability in model predictive control ⋮ Online learning stochastic model predictive control of linear uncertain systems ⋮ Predictor‐based switching control for networked systems

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