Publications related to Time-Optimal Path Following for Robots With Convex-Concave Constraints Using Sequential Convex Programming

Towards computational complexity certification for constrained mpc based on lagrange relaxation and the fast gradient method

Solving a convex optimization problem within an a priori certified period of time is a challenging problem. This paper discusses the certification of Nesterov’s fast gradient method for problems with a strictly quadratic objective and a feasible set given ...

2011

Tracking Multiple Objects under Global Appearance Constraints

Pascal Fua, François Fleuret, Jérôme Berclaz, Horesh Beny Ben Shitrit

In this paper, we show that tracking multiple people whose paths may intersect can be formulated as a convex global optimization problem. Our proposed framework is designed to exploit image appearance clues to prevent identity switches. Our ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

Tracking Multiple People under Global Appearance Constraints

Pascal Fua, François Fleuret, Jérôme Berclaz, Horesh Beny Ben Shitrit

In this paper, we show that tracking multiple people whose paths may intersect can be formulated as a convex global optimization problem. Our proposed framework is designed to exploit image appearance cues to prevent identity switches. Our method is effect ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

Model-Predictive Control of an Experimental Solid Oxide Fuel Cell Stack

Dominique Bonvin, Stefan Diethelm, Grégory François, Zacharie Wuillemin, Arata Nakajo, Gene Bunin

Solid Oxide Fuel Cells (SOFC) are energy conversion devices that produce electrical energy via the reaction of a fuel with an oxidant. Although SOFCs have become credible alternatives to non-renewable energy sources, efforts are still needed to extend thei ...

2010

An optimal first-order solver for the TV-$L_1$ optical flow problem

Pierre Vandergheynst, Gilles Puy, Emmanuel D'Angelo

In this study, we address the problem of computing efficiently a dense optical flow between two images under a total variation (TV) regularization and an

L_1

norm data fidelity constraint using a variational method. We build upon Nesterov's framework for ...

2010

Modifier-adaptation methodology for real-time optimization

Alejandro Gabriel Marchetti

The process industries are characterized by a large number of continuously operating plants, for which optimal operation is of economic importance. However, optimal operation is particularly difficult to achieve when the process model used in the optimizat ...

EPFL2009

Minimum distance between pattern transformation manifolds: Algorithm and Applications

Pascal Frossard, Effrosyni Kokiopoulou

Transformation invariance is an important property in pattern recognition, where different observations of the same object typically receive the same label. This paper focuses on a transformation invariant distance measure that represents the minimum dista ...

2009

Inclusions différentielles et problèmes variationnels

Ana Margarida Fernandes Ribeiro

In this thesis we deal with three different but connected questions. Firstly (cf. Chapter 2) we make a systematic study of the generalized notions of convexity for sets. We study the notions of polyconvex, quasiconvex and rank one convex set. We remark tha ...

EPFL2006

Infinite-Horizon Optimal Advertising in a Market for Durable Goods

Thomas Alois Weber

In this paper we analyse the optimal infinite-horizon advertising policy of a monopolist firm in a market for durable goods, based on classic models by Vidale–Wolfe (Oper. Res. 1957; 5(3):370–381) and Nerlove–Arrow (Economica 1962; 29 (114):129–142). A set ...

Wiley-Blackwell2005

Optimum error nonlinearities for long adaptive filters

Ali H. Sayed

In this paper, we consider the class of adaptive filters with error nonlinearities. In particular, we derive an expression for the optimum nonlinearity that minimizes the steady-state error and attains the limit mandated by the Cramer-Rae bound of the unde ...

2002

Time-Optimal Path Following for Robots With Convex-Concave Constraints Using Sequential Convex Programming

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Towards computational complexity certification for constrained mpc based on lagrange relaxation and the fast gradient method

Tracking Multiple Objects under Global Appearance Constraints

Tracking Multiple People under Global Appearance Constraints

Model-Predictive Control of an Experimental Solid Oxide Fuel Cell Stack

An optimal first-order solver for the TV-$L_1$ optical flow problem

Modifier-adaptation methodology for real-time optimization

Minimum distance between pattern transformation manifolds: Algorithm and Applications

Inclusions différentielles et problèmes variationnels

Infinite-Horizon Optimal Advertising in a Market for Durable Goods

Optimum error nonlinearities for long adaptive filters

Modifier-adaptation methodology for real-time optimization

Model-Predictive Control of an Experimental Solid Oxide Fuel Cell Stack

Inclusions différentielles et problèmes variationnels

An optimal first-order solver for the TV-$L_1$ optical flow problem

Minimum distance between pattern transformation manifolds: Algorithm and Applications

Towards computational complexity certification for constrained mpc based on lagrange relaxation and the fast gradient method

Infinite-Horizon Optimal Advertising in a Market for Durable Goods

Tracking Multiple People under Global Appearance Constraints

Tracking Multiple Objects under Global Appearance Constraints

Optimum error nonlinearities for long adaptive filters