Stochastic model predictive control: An overview and perspectives for future research
A Mesbah - IEEE Control Systems Magazine, 2016 - ieeexplore.ieee.org
Model predictive control (MPC) has demonstrated exceptional success for the high-
performance control of complex systems. The conceptual simplicity of MPC as well as its …
performance control of complex systems. The conceptual simplicity of MPC as well as its …
Stochastic linear model predictive control with chance constraints–a review
M Farina, L Giulioni, R Scattolini - Journal of Process Control, 2016 - Elsevier
In the past ten years many Stochastic Model Predictive Control (SMPC) algorithms have
been developed for systems subject to stochastic disturbances and model uncertainties …
been developed for systems subject to stochastic disturbances and model uncertainties …
Predictive control strategies based on weather forecast in buildings with energy storage system: A review of the state-of-the art
H Thieblemont, F Haghighat, R Ooka, A Moreau - Energy and Buildings, 2017 - Elsevier
Energy storage systems play a crucial role in decreasing building energy consumption
during peak periods and expanding the use of renewable energies in buildings and …
during peak periods and expanding the use of renewable energies in buildings and …
The scenario approach for stochastic model predictive control with bounds on closed-loop constraint violations
Many practical applications in control require that constraints on the inputs and states of the
system are respected, while some performance criterion is optimized. In the presence of …
system are respected, while some performance criterion is optimized. In the presence of …
An outlook on robust model predictive control algorithms: Reflections on performance and computational aspects
MB Saltık, L Özkan, JHA Ludlage, S Weiland… - Journal of Process …, 2018 - Elsevier
In this paper, we discuss the model predictive control algorithms that are tailored for
uncertain systems. Robustness notions with respect to both deterministic (or set based) and …
uncertain systems. Robustness notions with respect to both deterministic (or set based) and …
Quantifying demand flexibility of building energy systems under uncertainty
Quantification of demand flexibility is of key importance to decision makers at the planning
level, when designing demand response programs and determining capacity requirements …
level, when designing demand response programs and determining capacity requirements …
System identification and model-predictive control of office buildings with integrated photovoltaic-thermal collectors, radiant floor heating and active thermal storage
The present study explores efficient integration approaches of photovoltaic-thermal systems
coupled with corrugated transpired solar collectors (building-integrated photovoltaic …
coupled with corrugated transpired solar collectors (building-integrated photovoltaic …
Scenario-based MPC for energy-efficient building climate control under weather and occupancy uncertainty
X Zhang, G Schildbach… - 2013 european …, 2013 - ieeexplore.ieee.org
Heating, ventilation and air conditioning (HVAC) systems regulate comfort levels in
buildings, but also consume a large amount of energy, which makes them an attractive …
buildings, but also consume a large amount of energy, which makes them an attractive …
Scenario-based probabilistic reachable sets for recursively feasible stochastic model predictive control
L Hewing, MN Zeilinger - IEEE Control Systems Letters, 2019 - ieeexplore.ieee.org
This letter presents a stochastic model predictive control approach (MPC) for linear discrete-
time systems subject to unbounded and correlated additive disturbance sequences, which …
time systems subject to unbounded and correlated additive disturbance sequences, which …