research
∙
07/02/2023
New Feedback Control and Adaptive Evolve-Filter-Relax Regularization for the Navier-Stokes Equations in the Convection-Dominated Regime
We propose, analyze, and investigate numerically a novel feedback contro...
share
research
∙
01/05/2023
Stabilized Weighted Reduced Order Methods for Parametrized Advection-Dominated Optimal Control Problems governed by Partial Differential Equations with Random Inputs
In this work, we analyze Parametrized Advection-Dominated distributed Op...
research
∙
01/05/2023
A Streamline upwind Petrov-Galerkin Reduced Order Method for Advection-Dominated Partial Differential Equations under Optimal Control
In this paper we will consider distributed Linear-Quadratic Optimal Cont...
research
∙
12/20/2022
POD-based reduced order methods for optimal control problems governed by parametric partial differential equation with varying boundary control
In this work we propose tailored model order reduction for varying bound...
research
∙
11/27/2021
A data-driven partitioned approach for the resolution of time-dependent optimal control problems with dynamic mode decomposition
This work recasts time-dependent optimal control problems governed by pa...
research
∙
10/26/2021
An extended physics informed neural network for preliminary analysis of parametric optimal control problems
In this work we propose an extension of physics informed supervised lear...
research
∙
10/11/2021
Consistency of the Full and Reduced Order Models for Evolve-Filter-Relax Regularization of Convection-Dominated, Marginally-Resolved Flows
Numerical stabilization is often used to eliminate (alleviate) the spuri...
research
∙
02/28/2021
A weighted POD-reduction approach for parametrized PDE-constrained Optimal Control Problems with random inputs and applications to environmental sciences
Reduced basis approximations of Optimal Control Problems (OCPs) governed...
research
∙
02/28/2021
A Certified Reduced Basis Method for Linear Parametrized Parabolic Optimal Control Problems in Space-Time Formulation
In this work, we propose to efficiently solve time dependent parametrize...
research
∙
11/24/2020
Reduced order methods for parametric flow control problems and applications
In this contribution we propose reduced order methods to fast and reliab...
research
∙
10/26/2020
Driving bifurcating parametrized nonlinear PDEs by optimal control strategies: application to Navier-Stokes equations with model order reduction
This work deals with optimal control problems as a strategy to drive bif...
research
∙
03/21/2020
POD-Galerkin Model Order Reduction for Parametrized Nonlinear Time Dependent Optimal Flow Control: an Application to Shallow Water Equations
In this work we propose reduced order methods as a reliable strategy to ...
research
∙
12/17/2019
Reduced order methods for parametrized non-linear and time dependent optimal flow control problems, towards applications in biomedical and environmental sciences
We introduce reduced order methods as an efficient strategy to solve par...
research
∙
09/20/2019