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PE
2011
Springer
266views Optimization» more  PE 2011»
14 years 6 months ago
Lumping partially symmetrical stochastic models
Performance and dependability evaluation of complex systems by means of dynamic stochastic models (e.g. Markov chains) may be impaired by the combinatorial explosion of their stat...
Souheib Baarir, Marco Beccuti, Claude Dutheillet, ...
DCC
2007
IEEE
15 years 11 months ago
A Stochastic Model for Video and its Information Rates
We propose a stochastic model for video and compute its information rates. The model has two sources of information representing ensembles of camera motion and visual scene data (...
Arthur L. da Cunha, Minh N. Do, Martin Vetterli
ICRA
2009
IEEE
133views Robotics» more  ICRA 2009»
15 years 6 months ago
A stochastically stable solution to the problem of robocentric mapping
Abstract— This paper provides a novel solution for robocentric mapping using an autonomous mobile robot. The robot dynamic model is the standard unicycle model and the robot is a...
Adrian N. Bishop, Patric Jensfelt
JCP
2008
144views more  JCP 2008»
14 years 12 months ago
A Neural Network Controller for Trajectory Control of Industrial Robot Manipulators
This paper addresses the issue of trajectory tracking control based on a neural network controller for industrial manipulators. A new control scheme is proposed based on neural net...
Zhao-Hui Jiang, Taiki Ishida
IJCSA
2007
100views more  IJCSA 2007»
14 years 11 months ago
Using Artificial Neural networks for the modelling of a distillation column
The main aim of this paper is to establish a reliable model both for the steady-state and unsteady-state regimes of a nonlinear process. The use of this model should reflect the t...
Yahya Chetouani