48 search results - page 7 / 10 » Iterative learning neural network control for nonlinear syst... |
NIPS
1993
13 years 10 months ago
1993
Dynamic programming provides a methodology to develop planners and controllers for nonlinear systems. However, general dynamic programming is computationally intractable. We have ...
EUSFLAT
2009
13 years 6 months ago
2009
The aim of this paper is to propose a new Kalman Filter Recurrent Neural Network (KFRNN) topology and a recursive Levenberg-Marquardt (L-M) algorithm of its learning capable to est...
ICRA
2002
IEEE
14 years 1 months ago
2002
IEEE
Visual servoing requires an object in the field of view of the camera, in order to control the robot evolution. Otherwise, the virtual link is broken and the control loop cannot c...
ECML
2006
Springer
14 years 7 days ago
2006
Springer
Abstract. Many complex control problems are not amenable to traditional controller design. Not only is it difficult to model real systems, but often it is unclear what kind of beha...
GECCO
2007
Springer
14 years 2 months ago
2007
Springer
The problem of how to acquire a model of a physical robot, which is fit for evolution of controllers that can subsequently be used to control that robot, is considered in the con...