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Gray-Box MPC for Articulated Dump Trucks

US & West · yesterday

A gray-box model predictive control approach is developed for autonomous articulated dump trucks, learning sideslip with Gaussian processes. It combines a dynamic model with data-driven learning, reducing the setup complexity of purely dynamic models.

Why it matters

It demonstrates hybrid modeling and control of heavy machinery in mining, where prediction accuracy is critical.

Relevant to DT products

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Original headline: Gray-Box Model Predictive Control for Articulated Dump Trucks via Gaussian Process Learning of Sideslip

Read the original: arXiv — Systems and Control (eess.SY)

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