CC-DeePC: Adaptive Conformal Calibration for Safe Data-Enabled Predictive Control | Superior Engineering Research Awards

 CC-DeePC: Adaptive Conformal Calibration for Safe Data-Enabled Predictive Control | Superior Engineering Research Awards

Discover CC-DeePC, an adaptive conformal calibration method designed to improve safety in data-enabled predictive control under non-stationary dynamics. This research explores how Adaptive Conformal Inference (ACI) helps strengthen predictive control constraints using online calibration of prediction errors. The study compares CC-DeePC with four baseline methods and reports significantly higher clean-safety rates in 23 of 24 tests, alongside validation using a real-world NGSIM I-80 vehicle trajectory and a 2D navigation scenario with LiDAR sensing. Published in the International Journal of Dynamics and Control in 2026, this work contributes to research on safe, data-driven control systems.


Journal: International Journal of Dynamics and Control

Publication Year: 2026

DOI: https://doi.org/10.23919/ECC.2019.8795639

Source: Springer


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