5 citations · 17 across the 15 of their papers we have counts for
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math.NA2024
On the data-sparsity of the solution of Riccati equations with applications to feedback control
Stefano Massei, Luca Saluzzi
Solving large-scale continuous-time algebraic Riccati equations is a significant challenge in various control theory applications. This work demonstrates that when the matrix coeff…
math.OC2024
State Dependent Riccati for dynamic boundary control to optimize irrigation in Richards' Equation framework
Alessandro Alla, Marco Berardi, Luca Saluzzi
We present an approach for the optimization of irrigation in a Richards' equation framework. We introduce a proper cost functional, aimed at minimizing the amount of water provided…
math.NA2024
A comparison study of supervised learning techniques for the approximation of high dimensional functions and feedback control
Mathias Oster, Luca Saluzzi, Tizian Wenzel
Approximation of high dimensional functions is in the focus of machine learning and data-based scientific computing. In many applications, empirical risk minimisation techniques ov…