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Model Predictive Control (MPC) is a powerful and flexible design tool of high-performance controllers for physical systems in the presence of input and output constraints.
Comparison of three methods for selecting values of input variables in the analysis of output from a computer code
M. D. McKay, R. J. Beckman, and W. J. Conover · 1979
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Design and analysis of computer experiments
J. Sacks, W. Welch, T. Mitchell, and H. Wynn · 1989
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A new optimizer using particle swarm theory
R. Eberhart and J. Kennedy · 1995
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Global optimization by multilevel coordinate search
W. Huyer and A. Neumaier · 1999
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The explicit linear quadratic regulator for constrained systems
A. Bemporad, M. Morari, V. Dua, and E. N. Pistikopoulos · 2002
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The CMA evolution strategy: a comparing review
N. Hansen · 2006
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DIRECT global optimization algorithm
D. Jones · 2009
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PSwarm: A hybrid solver for linearly constrained global derivative-free optimization
A. Vaz and L. Vicente · 2009
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E. Brochu, V. M. Cora, and N. De Freitas · 2010
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Direct learning of LPV controllers from data
S. Formentin, D. Piga, R. Tóth, and S. M. Saveresi · 2016
Cited alongside, same era.
Taking the human out of the loop: A review of bayesian optimization
B. Shahriari, K. Swersky, Z. Wang, R. P. Adams, and N. De Freitas · 2016
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Goal-driven dynamics learning via bayesian optimization
S. Bansal, R. Calandra, T. Xiao, S. Levine, and C. J. Tomlin · 2017
Cited alongside, same era.
Predictive control for linear and hybrid systems
Constrained bayesian optimization of combined interaction force/task space controllers for manipulations
D. Drieß, P. Englert, and M. Toussaint · 2017
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Direct data-driven control of constrained systems
D. Piga, S. Formentin, and A. Bemporad · 2018
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OSQP: An operator splitting solver for quadratic programs
B. Stellato, G. Banjac, P. Goulart, A. Bemporad, and S. Boyd · 2018
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Global optimization via inverse distance weighting
A. Bemporad · 2019
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Performance-oriented model learning for data-driven MPC design
D. Piga, M. Forgione, S. Formentin, and A. Bemporad · 2019
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Control parameters tuning based on bayesian optimization for robot trajectory tracking
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F. Borrelli, A. Bemporad, and M. Morari · 2017
Cited alongside, same era.
L. Roveda, M. Forgione, and D. Piga · 2019
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