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WSC
2001
13 years 8 months ago
Reducing input parameter uncertainty for simulations
Parameters of statistical distributions that are input to simulations are typically not known with certainty. For existing systems, or variations on existing systems, they are oft...
Szu Hui Ng, Stephen E. Chick
CDC
2008
IEEE
134views Control Systems» more  CDC 2008»
14 years 1 months ago
Data-driven precompensator tuning for linear parameter varying systems
— Methods for direct data-driven tuning of the parameters of precompensators for LPV systems are developed. Since the commutativity property is not always satisfied for LPV syst...
Mark Edward John Butcher, Alireza Karimi, Roland L...
AUTOMATICA
2006
142views more  AUTOMATICA 2006»
13 years 7 months ago
Stability regions in the parameter space: D-decomposition revisited
The challenging problem in linear control theory is to describe the total set of parameters (controller coefficients or plant characteristics) which provide stability of a system....
Elena N. Gryazina, Boris T. Polyak
ICASSP
2009
IEEE
14 years 2 months ago
Generalized Baum-Welch algorithm for discriminative training on large vocabulary continuous speech recognition system
We propose a new optimization algorithm called Generalized Baum Welch (GBW) algorithm for discriminative training on hidden Markov model (HMM). GBW is based on Lagrange relaxation...
Roger Hsiao, Yik-Cheung Tam, Tanja Schultz
VTC
2008
IEEE
161views Communications» more  VTC 2008»
14 years 1 months ago
Using WLAN Infrastructure for Angle-of-Arrival Indoor User Location
—This paper investigates the potential for future multiple antenna wireless local area network technologies such as 802.11n to perform indoor network-based positioning using angl...
Carl Wong, Richard Klukas, Geoffrey G. Messier