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» Modeling Sensorimotor Learning with Linear Dynamical Systems
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127
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IROS
2008
IEEE
191views Robotics» more  IROS 2008»
15 years 9 months ago
Local Gaussian process regression for real-time model-based robot control
— High performance and compliant robot control requires accurate dynamics models which cannot be obtained analytically for sufficiently complex robot systems. In such cases, mac...
Duy Nguyen-Tuong, Jan Peters
123
Voted
AUTOMATICA
1999
145views more  AUTOMATICA 1999»
15 years 2 months ago
Control of systems integrating logic, dynamics, and constraints
This paper proposes a framework for modeling and controlling systems described by interdependent physical laws, logic rules, and operating constraints, denoted as mixed logical dy...
Alberto Bemporad, Manfred Morari
136
Voted
ICMLA
2004
15 years 4 months ago
Planning with predictive state representations
Predictive state representation (PSR) models for controlled dynamical systems have recently been proposed as an alternative to traditional models such as partially observable Mark...
Michael R. James, Satinder P. Singh, Michael L. Li...
122
Voted
ICASSP
2010
IEEE
15 years 1 months ago
Identification of linear systems in canonical form through an EM framework
Least-squares estimation has always been the main approach when applying prediction error methods (PEM) in the identification of linear dynamical systems. Regardless of the estim...
Pavlos Papadopoulos, Vassilis Digalakis
130
Voted
ICARCV
2008
IEEE
170views Robotics» more  ICARCV 2008»
15 years 9 months ago
Mixed state estimation for a linear Gaussian Markov model
— We consider a discrete-time dynamical system with Boolean and continuous states, with the continuous state propagating linearly in the continuous and Boolean state variables, a...
Argyris Zymnis, Stephen P. Boyd, Dimitry M. Gorine...