232 search results - page 1 / 47 » Predictive linear-Gaussian models of controlled stochastic d... |
72
Voted
ICML
2006
IEEE
15 years 11 months ago
2006
IEEE
We introduce the controlled predictive linearGaussian model (cPLG), a model that uses predictive state to model discrete-time dynamical systems with real-valued observations and v...
84
Voted
ICML
2006
IEEE
15 years 11 months ago
2006
IEEE
The recent Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent...
81
Voted
AAAI
2006
14 years 12 months ago
2006
The Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent parame...
106
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TROB
2010
14 years 8 months ago
2010
—Robotic systems need to be able to plan control actions that are robust to the inherent uncertainty in the real world. This uncertainty arises due to uncertain state estimation,...
104
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HYBRID
2007
Springer
15 years 4 months ago
2007
Springer
Hybrid discrete-continuous models, such as Jump Markov Linear Systems, are convenient tools for representing many real-world systems; in the case of fault detection, discrete jumps...