All news

Learning-enabled Acceleration of Scenario-based Model Predictive Control

arXiv:2607.12775v2 Announce Type: replace-cross Abstract: Scenario-based model predictive control (SBMPC) is a variant of model predictive control (MPC) that explicitly accounts for uncertainty by optimizing control actions over multiple predicted scenarios.

Relevant to DT products

Original headline
Learning-enabled Acceleration of Scenario-based Model Predictive Control
Read the original: arXiv — Systems and Control (eess.SY)

Translation and summary are machine-generated from the source. The full article is not republished; its rights belong to the source.