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JOTA
2010
127views more  JOTA 2010»
13 years 2 months ago
Optimization Over the Efficient Set of Multi-objective Convex Optimal Control Problems
We consider multi-objective convex optimal control problems. First we state a relationship between the (weakly or properly) efficient set of the multi-objective problem and the sol...
Henri Bonnel, C. Yalçin Kaya
CDC
2008
IEEE
146views Control Systems» more  CDC 2008»
14 years 2 months ago
Control formula for nonlinear systems subject to convex input constraints using control Lyapunov functions
— In this paper, we propose a two-step controller design method with control Lyapunov functions (CLFs) for nonlinear systems with convex input constraints. In the first step, we...
Yasuyuki Satoh, Hisakazu Nakamura, Nami Nakamura, ...
SCALESPACE
2007
Springer
14 years 1 months ago
Fuzzy Region Competition: A Convex Two-Phase Segmentation Framework
This paper introduces a new framework for two-phase image segmentation, namely the Fuzzy Region Competition. A generic formulation is developed that extends in a convex way several...
Benoit Mory, Roberto Ardon
CORR
2008
Springer
133views Education» more  CORR 2008»
13 years 7 months ago
Estimating divergence functionals and the likelihood ratio by convex risk minimization
We develop and analyze M-estimation methods for divergence functionals and the likelihood ratios of two probability distributions. Our method is based on a non-asymptotic variatio...
XuanLong Nguyen, Martin J. Wainwright, Michael I. ...
SIAMJO
2008
212views more  SIAMJO 2008»
13 years 7 months ago
Convergence Rate of an Optimization Algorithm for Minimizing Quadratic Functions with Separable Convex Constraints
A new active set algorithm for minimizing quadratic functions with separable convex constraints is proposed by combining the conjugate gradient method with the projected gradient. ...
Radek Kucera