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» Iterative Learning Control - Monotonicity and Optimization
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CDC
2009
IEEE
128views Control Systems» more  CDC 2009»
15 years 1 months ago
The entropy penalized minimum energy estimator
This paper addresses the state estimation problem of nonlinear systems. We formulate the problem using a minimum energy estimator (MEE) approach and propose an entropy penalized sc...
Sergio Daniel Pequito, A. Pedro Aguiar, Diogo A. G...
BMCBI
2010
139views more  BMCBI 2010»
14 years 10 months ago
A global optimization algorithm for protein surface alignment
Background: A relevant problem in drug design is the comparison and recognition of protein binding sites. Binding sites recognition is generally based on geometry often combined w...
Paola Bertolazzi, Concettina Guerra, Giampaolo Liu...
IROS
2007
IEEE
168views Robotics» more  IROS 2007»
15 years 4 months ago
Improving humanoid locomotive performance with learnt approximated dynamics via Gaussian processes for regression
Abstract— We propose to improve the locomotive performance of humanoid robots by using approximated biped stepping and walking dynamics with reinforcement learning (RL). Although...
Jun Morimoto, Christopher G. Atkeson, Gen Endo, Go...
GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
15 years 1 months ago
Robot gaits evolved by combining genetic algorithms and binary hill climbing
In this paper an evolutionary algorithm is used for evolving gaits in a walking biped robot controller. The focus is fast learning in a real-time environment. An incremental appro...
Lena Mariann Garder, Mats Erling Høvin
ICASSP
2011
IEEE
14 years 1 months ago
Saturation-robust SAR image formation
The formation of synthetic aperture radar (SAR) images is formulated as an inverse problem, a flexible approach suitable for a variety of acquisition systems and signal models. T...
Dennis Wei, Petros Boufounos