28 search results - page 4 / 6 » A state estimator for nonlinear stochastic systems based on ... |
ICCAD
2001
IEEE
14 years 4 months ago
2001
IEEE
—In this paper, we present an approach to nonlinear model reduction based on representing a nonlinear system with a piecewise-linear system and then reducing each of the pieces w...
CDC
2009
IEEE
14 years 17 days ago
2009
IEEE
Abstract— Q-learning is a technique used to compute an optimal policy for a controlled Markov chain based on observations of the system controlled using a non-optimal policy. It ...
ECCV
2002
Springer
14 years 9 months ago
2002
Springer
Visual sensors provide exclusively uncertain and partial knowledge of a scene. In this article, we present a suitable scene knowledge representation that makes integration and fusi...
CDC
2010
IEEE
13 years 2 months ago
2010
IEEE
We address the consensus-based distributed linear filtering problem, where a discrete time, linear stochastic process is observed by a network of sensors. We assume that the consen...
ATAL
2007
Springer
14 years 2 months ago
2007
Springer
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...