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109
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AUTOMATICA
2008
108views more  AUTOMATICA 2008»
15 years 2 months ago
Closed-loop identification of multivariable systems: With or without excitation of all references?
The accuracy of plant parameters estimated in closed-loop operation is investigated for a class of multivariable systems and for the situation where only some of the reference inp...
Ljubisa Miskovic, Alireza Karimi, Dominique Bonvin...
AUTOMATICA
2005
112views more  AUTOMATICA 2005»
15 years 2 months ago
Robust maximum-likelihood estimation of multivariable dynamic systems
This paper examines the problem of estimating linear time-invariant state-space system models. In particular it addresses the parametrization and numerical robustness concerns tha...
Stuart Gibson, Brett Ninness
ISSAC
2007
Springer
153views Mathematics» more  ISSAC 2007»
15 years 8 months ago
On exact and approximate interpolation of sparse rational functions
The black box algorithm for separating the numerator from the denominator of a multivariate rational function can be combined with sparse multivariate polynomial interpolation alg...
Erich Kaltofen, Zhengfeng Yang
NIPS
2007
15 years 4 months ago
Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression
We propose a method for reconstruction of human brain states directly from functional neuroimaging data. The method extends the traditional multivariate regression analysis of dis...
Sennay Ghebreab, Arnold W. M. Smeulders, Pieter W....
112
Voted
ASPDAC
2009
ACM
164views Hardware» more  ASPDAC 2009»
15 years 9 months ago
Accounting for non-linear dependence using function driven component analysis
Majority of practical multivariate statistical analyses and optimizations model interdependence among random variables in terms of the linear correlation among them. Though linear...
Lerong Cheng, Puneet Gupta, Lei He