6 papers
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…
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…
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…
On-the-fly Surrogation for Complex Nonlinear Dynamics
E. Javier Olucha, Rajiv Singh, Amritam Das +1
High-fidelity models are essential for accurately capturing nonlinear system dynamics. However, simulation of these models is often computationally too expensive and, due to their…
Tensor-based reduction of linear parameter-varying state-space models
Bogoljub Terzin, E. Javier Olucha, Amritam Das +2
The Linear Parameter-Varying (LPV) framework is a powerful tool for controlling nonlinear and complex systems, but the conversion of nonlinear models into LPV forms often results i…
Automated Linear Parameter-Varying Modeling of Nonlinear Systems: A Global Embedding Approach
E. Javier Olucha, Patrick J. W. Koelewijn, Amritam Das +1
In this paper, an automated Linear Parameter-Varying (LPV) model conversion approach is proposed for nonlinear dynamical systems. The proposed method achieves global embedding of t…