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» Learning Nonlinear Dynamical Systems Using an EM Algorithm
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AUTOMATICA
2007
111views more  AUTOMATICA 2007»
14 years 9 months ago
Output feedback variable structure control for linear systems with uncertainties and disturbances
This paper proposes a dynamic output feedback variable structure controller for linear MIMO systems with mismatched and matched normbounded uncertainties and matched nonlinear dis...
PooGyeon Park, Doo Jin Choi, Seong G. Kong
AUTOMATICA
2008
154views more  AUTOMATICA 2008»
14 years 9 months ago
Approximately bisimilar symbolic models for nonlinear control systems
Control systems are usually modeled by differential equations describing how physical phenomena can be influenced by certain control parameters or inputs. Although these models ar...
Giordano Pola, Antoine Girard, Paulo Tabuada
GECCO
2009
Springer
15 years 2 months ago
NEAT in increasingly non-linear control situations
Evolution of neural networks, as implemented in NEAT, has proven itself successful on a variety of low-level control problems such as pole balancing and vehicle control. Nonethele...
Matthias J. Linhardt, Martin V. Butz
HUMO
2000
Springer
15 years 1 months ago
Specialized Mappings and the Estimation of Human Body Pose from a Single Image
We present an approach for recovering articulated body pose from single monocular images using the Specialized Mappings Architecture (SMA), a non-linear supervised learning archit...
Rómer Rosales, Stan Sclaroff
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...