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We present a Bayesian optimization (BO) framework for tuning model predictive controllers (MPC) of central heating, ventilation, and air conditioning (HVAC) plants.
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A.S. Yamashita, A.C. Zanin, and D. Odloak, Tuning of model predictive control with multi-objective optimization. Brazilian Journal of Chemical Engineering , 33(2): 333-346, 2016
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S.F. Lozano, and J.M. Gomez, An algorithm for tuning NMPC controllers with application to chemical processes. Industrial & Engineering Chemistry Research , 55(34): 9215-9228, 2016
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Bansal, Somil and Calandra, Roberto and Xiao, Ted and Levine, Sergey and Tomiin, Claire J. Goal-driven dynamics learning via Bayesian optimization. I EEE 56th Annual Conference on Decision and Control (CDC), 5168–5173, 2017
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R.W. Koller, L.A. Richardez-Sandoval, and L.T. Biegler, Stochastic back-off algorithm for simultaneous design, control, and scheduling of multiproduct systems under uncertainty. AIChE Journal , 64(7): 2379-2389, 2018
2018
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J.B. Rawlings , N.R. Patel, M.J. Risbeck, C.T. Maravelias, M.J. Wenzel, and R.D. Turney, Economic MPC and real-time decision making with application to large-scale HVAC energy systems. Computers & Chemical Engineering , 114: 89-98, 2018
2018
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2019
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Piga, D., Forgione, M., Formentin, S., and Bemporad, A. Performance-oriented model learning for data-driven MPC design. I EEE control systems letters, 3(3), 577-582, 2019
2019
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S. Greenhill, S. Rana, S. Gupta, P. Vellanki, and S. Venkatesh, Bayesian optimization for adaptive experimental design: A review. IEEE Access , 8: 13937-13948, 2020
2020
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M. Rafiei, L.A. Ricardez-Sandoval, Stochastic back-off approach for integration of design and control under uncertainty. Industrial & Engineering Chemistry Research , 57(12): 4351-4365, 2018
2018
Cited alongside, same era.
P.I. Frazier, A tutorial on Bayesian optimization. arXiv preprint arXiv:1807.02811 , 2018
2018
Cited alongside, same era.
R. Kumar, M.J. Wenzel, M.N. ElBsat, M.J. Risbeck, K.H. Drees, and V.M. Zavala, Stochastic model predictive control for central HVAC plants. Journal of Process Control , 90:1–17, 2020
2020
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Lucchini, A., Formentin, S., Corno, M., Piga, D., and Savaresi, S. M. Torque vectoring for high-performance electric vehicles: an efficient MPC calibration. I EEE Control Systems Letters, 4(3), 725-730, 2020
2020
Closest in time.