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Enabling robust mixed-integer nonlinear model predictive control via self-supervised learning and combinatorial integral approximation
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DOI：10.1016/j.jprocont.2026.103636.png)
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Abstract
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• Integration of combinatorial integral approximation into robust multi-stage MPC. • Self-supervised learning approach for GPU-based acceleration of the MPC problem. • Real-time applicability for mixed-integer systems with large amounts of uncertainties.
Keywords:
Robust model predictive control
Learning-based control
Mixed integer nonlinear programming
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