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» Nonlinear Systems: Approximating Reach Sets
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NIPS
1998
14 years 11 months ago
Learning Nonlinear Dynamical Systems Using an EM Algorithm
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
Zoubin Ghahramani, Sam T. Roweis
JAIR
2008
113views more  JAIR 2008»
14 years 10 months ago
Graphical Model Inference in Optimal Control of Stochastic Multi-Agent Systems
In this article we consider the issue of optimal control in collaborative multi-agent systems with stochastic dynamics. The agents have a joint task in which they have to reach a ...
Bart van den Broek, Wim Wiegerinck, Bert Kappen
ICIP
2010
IEEE
14 years 8 months ago
Image analysis with regularized Laplacian eigenmaps
Many classes of image data span a low dimensional nonlinear space embedded in the natural high dimensional image space. We adopt and generalize a recently proposed dimensionality ...
Frank Tompkins, Patrick J. Wolfe
SIAMCO
2010
124views more  SIAMCO 2010»
14 years 5 months ago
Reachability and Minimal Times for State Constrained Nonlinear Problems without Any Controllability Assumption
We consider a target problem for a nonlinear system under state constraints. We give a new continuous level-set approach for characterizing the optimal times and the backward-reach...
Olivier Bokanowski, Nicolas Forcadel, Hasnaa Zidan...
CDC
2010
IEEE
134views Control Systems» more  CDC 2010»
14 years 5 months ago
Observer design for Lipschitz systems with discrete-time measurements
In this paper, the authors investigate the problem of designing an observer for Lipschitz nonlinear systems with discrete time measurements (continuous-discrete time systems). The ...
Vincent Andrieu, Madiha Nadri