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Multi-forecast model predictive control (MF-MPC) is a control policy that creates a plan of actions over a horizon for each of a given set of forecasted scenarios or contingencies, with the constraint that the first action in all plans be the same.
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J. Rawlings, D. Mayne, and M. Diehl · 2017
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A rewriting system for convex optimization problems
A. Agrawal, R. Verschueren, S. Diamond, and S. Boyd · 2018
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Y. Ding, L. Wang, Y. Li, and D. Li · 2018
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Stochastic model predictive control – how does it work?
T. Heirung, J. Paulson, J. O’Leary, and A. Mesbah · 2018
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D. Raimondo, D. Limon, M. Lazar, L. Magni, and E. Camacho · 2009
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Fast model predictive control using online optimization
Y. Wang and S. Boyd · 2009
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An overview of model predictive control
K. Holkar and L. Waghmare · 2010
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Incremental gradient, subgradient, and proximal methods for convex optimization: A survey
D. Bertsekas · 2011
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Incremental proximal methods for large scale convex optimization
D. Bertsekas · 2011
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Nonlinear model predictive control, 2011
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Model predictive control: Review of the three decades of development
J. Lee · 2011
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Data center cooling using model-predictive control
N. Lazic, T. Lu, C. Boutilier, M. Ryu, E. J. Wong, B. Roy, and G. Imwalle · 2018
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Handbook of model predictive control
S. Raković and W. Levine · 2018
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A survey of parallel implementations for model predictive control
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Differentiable convex optimization layers
A. Agrawal, B. Amos, S. Barratt, S. Boyd, S. Diamond, and J. Kolter · 2019
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A model predictive control approach for virtual coupling in railways
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Dynamic energy management
N. Moehle, E. Busseti, S. Boyd, and M. Wytock · 2019
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Progressive decoupling of linkages in optimization and variational inequalities with elicitable convexity or monotonicity
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An ADMM algorithm for two-stage stochastic programming problems
S. Arpón, T. Homem-de Mello, and B. Pagnoncelli · 2020
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Model predictive control to mitigate the COVID-19 outbreak in a multi-region scenario
R. Carli, G. Cavone, N. Epicoco, P. Scarabaggio, and M. Dotoli · 2020
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All you need to know about model predictive control for buildings
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Nonlinear model predictive control with logic constraints for COVID-19 management
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OSQP: An operator splitting solver for quadratic programs
B. Stellato, G. Banjac, P. Goulart, A. Bemporad, and S. Boyd · 2020
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Risk-averse stochastic programming and distributionally robust optimization via operator splitting
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