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A new methodology calibrates model predictive control policies, tested on an origin-to-destination flight problem. This could improve control systems in various fields. The approach is still unverified outside this example.
“arXiv:2607.16084v1 Announce Type: cross Abstract: This paper illustrates the Pick-to-Learn methodology applied to the calibration of a Model Predictive Control policy. While developed around a specific example, the presentation is meant to …”
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ACTIVE
CATEGORY
Research
EVIDENCE
Not yet assessed
ENTITY
Pick-to-Learn, Model Predictive Control
DECISION
Automated · no editorial override
LAST OBSERVED
Aug 6, 2026