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Found 2 papers, 1 papers with code
A Learning-based Model Predictive Control Scheme with Application to Temperature Control Units
Temperature control is a complex task due to its often unknown dynamics and disturbances.
c-lasso -- a Python package for constrained sparse and robust regression and classification
The underlying statistical forward model is assumed to be of the following form: \[ y = X \beta + \sigma \epsilon \qquad \textrm{subject to} \qquad C\beta=0 \] Here, $X \in \mathbb{R}^{n\times d}$is a given design matrix and the vector $y \in \mathbb{R}^{n}$ is a continuous or binary response vector.
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