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The contribution of this paper is a framework for training and evaluation of Model Predictive Control (MPC) implemented using constrained neural networks.
On the experimental attainment of optimum conditions (with discussion)
G. E. P. Box and K.B. Wilson · 1951
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Thomas Parisini and Riccardo Zoppoli · 1995
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Set invariance in control
F. Blanchini · 1999
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Robust Constraint Satisfaction: Invariant Sets and Predictive Control
Eric Kerrigan · 2000
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A Survey on Explicit Model Predictive Control
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Constrained Control and Estimation: An Optimisation Approach
Graham Goodwin, Mara M. Seron, and Jos A. de Don · 2010
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Fast model predictive control using online optimization
Y. Wang and S. Boyd · 2010
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S. Chen, K. Saulnier, N. Atanasov, D. D. Lee, V. Kumar, G. J. Pappas, and M. Morari · 2018
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Linear time-varying robust model predictive control for discrete-time nonlinear systems*
G. C. Pereira, P. F. Lima, B. Wahlberg, H. Pettersson, and J. Mårtensson · 2018
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Steven W. Chen, Tianyu Wang, Nikolay Atanasov, Vijay Kumar, and Manfred Morari · 2019
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A neural network architecture to learn explicit mpc controllers from data, 2019
E. T. Maddalena, C. G. da S. Moraes, G. Waltrich, and C. N. Jones · 2019
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