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CDC
2008
IEEE
112views Control Systems» more  CDC 2008»
16 years 1 months ago
Application of the proximal center decomposition method to distributed model predictive control
Abstract— In this paper we present a dual-based decomposition method, called here the proximal center method, to solve distributed model predictive control (MPC) problems for cou...
Ion Necoara, Dang Doan, Johan A. K. Suykens
ICC
2008
IEEE
117views Communications» more  ICC 2008»
16 years 29 days ago
Semi-Blind Power Allocation for Digital Subscriber Lines
— Digital subscriber lines (DSL) are today one of the most important means for delivering high-speed data transmission. An emerging technique for dealing with one of the technolo...
Rodrigo Moraes, Boris Dortschy, Aldebaro Klautau, ...
ICPR
2008
IEEE
16 years 28 days ago
Parameter-based reduction of Gaussian mixture models with a variational-Bayes approach
This paper 1 proposes a technique for simplifying a given Gaussian mixture model, i.e. reformulating the density in a more parcimonious manner, if possible (less Gaussian componen...
Pierrick Bruneau, Marc Gelgon, Fabien Picarougne
ICRA
2008
IEEE
134views Robotics» more  ICRA 2008»
16 years 28 days ago
An optimal filtering algorithm for non-parametric observation models in robot localization
— The lack of a parameterized observation model in robot localization using occupancy grids requires the application of sampling-based methods, or particle filters. This work ad...
Jose-Luis Blanco, Javier Gonzalez, Juan-Antonio Fe...
IROS
2008
IEEE
123views Robotics» more  IROS 2008»
16 years 27 days ago
Learning predictive terrain models for legged robot locomotion
— Legged robots require accurate models of their environment in order to plan and execute paths. We present a probabilistic technique based on Gaussian processes that allows terr...
Christian Plagemann, Sebastian Mischke, Sam Prenti...