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eess.SY2026
Data-driven Learning of LPV Surrogate Models of Fuel Sloshing
E. Javier Olucha, Valentin Preda, Amritam Das +1
This paper aims to enhance the efficiency of validation and verification campaigns involving fuel sloshing phenomena. Our first contribution is the development of an open-source, h…
eess.SY2026
Learning Surrogate LPV State-Space Models with Uncertainty Quantification
E. Javier Olucha, Valentin Preda, Amritam Das +1
The Linear Parameter-Varying (LPV) framework enables the construction of surrogate models of complex nonlinear and high-dimensional systems, facilitating efficient stability and pe…
eess.SY2026
Bayesian Optimization Based Grid Point Allocation for LPV and Robust Control
E. Javier Olucha, Arash Sadeghzadeh, Amritam Das +1
This paper investigates systematic selection of optimal grid points for grid-based Linear Parameter-Varying (LPV) and robust controller synthesis. In both settings, the objective i…