4 citations · 8 across the 4 of their papers we have counts for
4 papers
Artificial-reference tracking MPC with probabilistically validated performance on industrial embedded systems
Victor Gracia, Pablo Krupa, Filiberto Fele +1
Industrial embedded systems are typically used to execute simple control algorithms due to their low computational resources. Despite these limitations, the implementation of advan…
Implementation of soft-constrained MPC for Tracking using its semi-banded problem structure
Victor Gracia, Pablo Krupa, Daniel Limon +1
Model Predictive Control (MPC) is a popular control approach due to its ability to consider constraints, including input and state restrictions, while minimizing a cost function. H…
Efficient implementation of MPC for tracking using ADMM by decoupling its semi-banded structure
Victor Gracia, Pablo Krupa, Daniel Limon +1
Model Predictive Control (MPC) for tracking formulation presents numerous advantages compared to standard MPC, such as a larger domain of attraction and recursive feasibility even…
Efficient online update of model predictive control in embedded systems using first-order methods
Victor Gracia, Pablo Krupa, Teodoro Alamo +1
Model Predictive Control (MPC) is typically characterized for being computationally demanding, as it requires solving optimization problems online; a particularly relevant point wh…