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A Streamline Upwind Petrov-Galerkin Reduced Order Method for Advection-Dominated Partial Differential Equations Under Optimal Control

Related publications (43)

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Analysis of F0 and Cepstral Features for Robust Automatic Gender Recognition

In this paper, we analyze applicability of F0 and cepstral features, namely LPCCs, MFCCs, PLPs for robust Automatic Gender Recognition (AGR). Through gender recognition studies on BANCA corpus comprising datasets of varying complexity, we show that use of ...

Idiap2009

Parametrized systems of Differential Algebraic Equations (DAEs) stand at the base of several mathematical models in Microelectronics, Computational Fluid Dynamics and other Engineering fields. Since the dimension of these systems can be huge, high computat ...

2009

A branch and bound algorithm for disassembly scheduling with assembly product structure⋆

Paul Xirouchakis, Hwa-Joong Kim

This paper considers a production planning problem in disassembly systems, which is the problem of determining the quantity and timing of disassembling end-of-use/life products in order to satisfy the demand of their parts or components over a planning hor ...

2009

Neighboring-Extremal Control for Singular Dynamic Optimization Problems. II- Multiple-Input Systems

Dominique Bonvin, Benoît Chachuat, Sébastien Gros

Dynamic optimization provides a unified framework for improving process operations while taking operational constraints into account. In the presence of uncertainty, measurements can be incorporated into the optimization framework for tracking the optimum. ...

2009

Filtering in Legendre spectral methods

Jan Sickmann Hesthaven

We discuss the impact of modal filtering in Legendre spectral methods, both on accuracy and stability. For the former, we derive sufficient conditions on the filter to recover high order accuracy away from points of discontinuity. Computational results con ...

American Mathematical Society2008

Neighboring extremals in optimization and control

Sébastien Gros

Optimization arises naturally when process performance needs improvement. This is often the case in industry because of competition – the product has to be proposed at the lowest possible cost. From the point of view of control, optimization consists in de ...

EPFL2007

A preconditioned two-level overlapping Schwarz method for solving unstructured nodal discontinuous Galerkin discretizations of the indefinite Helmholtz problem is studied. We employ triangles in two dimensions and in a local discontinuous Galerkin (LDG) va ...

Springer2007

The autocorrelations have been previously used as features for 1D or 2D signal classification in a wide range of applications, like texture classification, face detection and recognition, EEG signal classification, and so on. However, in almost all the cas ...

2004

This paper presents the development of spectral element methods to simulate unsteady flows of viscoelastic fluids using a closed-form differential constitutive equation. The generation and decay Poiseuille planar flows are considered as benchmark problems ...

2003

NARX Models: Optimal Parametric Approximation of Nonparametric Estimators

Giancarlo Ferrari Trecate

Bayesian regression, a nonparametric identification technique with several appealing features, can be applied to the identification of NARX (nonlinear ARX) models. However, its computational complexity scales as

O(N^3)

where

N

is the data set size. In ...

2001

NARX Models: Optimal Parametric Approximation of Nonparametric Estimators

Giancarlo Ferrari Trecate

O(N^3)

where

N

is the data set size. In ...

2001