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TSMC
2008
140views more  TSMC 2008»
15 years 6 months ago
Adaptive Feedback Control by Constrained Approximate Dynamic Programming
A constrained approximate dynamic programming (ADP) approach is presented for designing adaptive neural network (NN) controllers with closed-loop stability and performance guarante...
S. Ferrari, J. E. Steck, R. Chandramohan
ICASSP
2010
IEEE
15 years 6 months ago
Symmetrical EEG/FMRI fusion with spatially adaptive priors using variational distribution approximation
In this paper, we propose a symmetrical EEG/fMRI fusion algorithm which combines EEG and fMRI by means of a common generative model. The use of a total variation (TV) prior as wel...
Martin Luessi, S. Derin Babacan, Rafael Molina, Ja...
AUTOMATICA
2006
98views more  AUTOMATICA 2006»
15 years 6 months ago
Stabilization of sampled-data nonlinear systems via backstepping on their Euler approximate model
Two integrator backstepping designs are presented for digitally controlled continuous-time plants in special form. The controller designs are based on the Euler approximate discre...
Dragan Nesic, Andrew R. Teel
DSD
2008
IEEE
91views Hardware» more  DSD 2008»
15 years 8 months ago
A New Rounding Algorithm for Variable Latency Division and Square Root Implementations
The aim of this work is to present a method for rounding quadratically converging algorithms that improves their performance. This method is able to reduce significantly the numbe...
D. Piso, Javier D. Bruguera
WSC
2004
15 years 7 months ago
Optimal Computing Budget Allocation Under Correlated Sampling
We consider the optimal computing budget allocation (OCBA) problem where the simulated designs are correlated. The exact optimal allocation is presented for two designs, and an ap...
Michael C. Fu, Jian-Qiang Hu, Chun-Hung Chen, Xiao...