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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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 ...
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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...
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09/20/2019
