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» Identification with stochastic sampling time jitter
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AUTOMATICA
2008
123views more  AUTOMATICA 2008»
13 years 4 months ago
Identification with stochastic sampling time jitter
This work investigates how stochastic sampling jitter noise affects the result of system identification, and proposes a modification of known approaches to mitigate the effects of...
Frida Eng, Fredrik Gustafsson
AUTOMATICA
2010
96views more  AUTOMATICA 2010»
13 years 4 months ago
Issues in sampling and estimating continuous-time models with stochastic disturbances
: The standard continuous time state space model with stochastic disturbances the mathematical abstraction of continuous time white noise. To work with well defined, discrete time ...
Lennart Ljung, Adrian Wills
CDC
2008
IEEE
126views Control Systems» more  CDC 2008»
13 years 6 months ago
Subspace identification using predictor estimation via Gaussian regression
In this paper we propose a new nonparametric approach to identification of linear time invariant systems using subspace methods. The nonparametric paradigm to prediction of station...
Alessandro Chiuso, Gianluigi Pillonetto, Giuseppe ...
CDC
2009
IEEE
156views Control Systems» more  CDC 2009»
13 years 8 months ago
Input design using Markov chains for system identification
This paper studies the input design problem for system identification where time domain constraints have to be considered. A finite Markov chain is used to model the input of the s...
Chiara Brighenti, Bo Wahlberg, Cristian R. Rojas
ICCV
2001
IEEE
14 years 6 months ago
3D Object Tracking Using Shape-Encoded Particle Propagation
We present a comprehensive treatment of 3D object tracking by posing it as a nonlinear state estimation problem. The measurements are derived using the outputs of shape-encoded fi...
Hankyu Moon, Rama Chellappa, Azriel Rosenfeld