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» Learning nonlinear dynamic models
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IJCM
2008
93views more  IJCM 2008»
13 years 11 months ago
A reinforced learning control using iterative error compensation for uncertain dynamical systems
This paper investigates a learning control using iterative error compensation for uncertain systems to enhance the precision of high speed, computer controlled machining process. ...
Kuei-Shu Hsu, Wen-Shyong Yu, Ming-In Ho
IJSYSC
1998
93views more  IJSYSC 1998»
13 years 10 months ago
A new adaptive control scheme with arbitrary nonlinear inputs
This paper presents a new analysis and design method for model reference adaptive control(MRAC) with arbitrary bounded input nonlinearities. The adaptive algorithm ensures that th...
Wen Yu, Manuel de la Sen
WCE
2007
14 years 6 hour ago
Numerical Simulation of Impacts involving a Collapsible Nonlinear Multilayer Structure
—A numerical model for the simulation of dynamic compression of a nonlinear multilayer structure subjected to transient compressive excitation is described and tested. It is show...
Michael A. Sek
MM
2006
ACM
203views Multimedia» more  MM 2006»
14 years 4 months ago
Learning image manifolds by semantic subspace projection
In many image retrieval applications, the mapping between highlevel semantic concept and low-level features is obtained through a learning process. Traditional approaches often as...
Jie Yu, Qi Tian
ICALT
2008
IEEE
14 years 5 months ago
Designing a Dynamic Bayesian Network for Modeling Students' Learning Styles
When using Learning Object Repositories, it is interesting to have mechanisms to select the more adequate objects for each student. For this kind of adaptation, it is important to...
Cristina Carmona, Gladys Castillo, Eva Millá...