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» Nonlinear hybrid system identification with kernel models
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CDC
2010
IEEE
133views Control Systems» more  CDC 2010»
14 years 6 months ago
Estimating state-space models in innovations form using the expectation maximisation algorithm
The expectation maximisation (EM) algorithm has proven to be effective for a range of identification problems. Unfortunately, the way in which the EM algorithm has previously been ...
Adrian Wills, Thomas B. Schön, Brett Ninness
AUTOMATICA
2008
93views more  AUTOMATICA 2008»
14 years 11 months ago
An LFT approach to parameter estimation
In this paper we consider a unified framework for parameter estimation problems which arise in a system identification context. In this framework, the parameters to be estimated a...
Kenneth Hsu, Tyrone L. Vincent, Greg Wolodkin, Sun...
ICPR
2006
IEEE
16 years 24 days ago
Face Recognition by Combining Kernel Associative Memory and Gabor Transforms
Kernel associative memory (KAM) has previously been proposed as an efficient scheme for face recognition. In this paper, a hybrid method of combining KAM and Gabor wavelet transfo...
Bailing Zhang, Clement Leung, Yongsheng Gao
FDL
2003
IEEE
15 years 5 months ago
Synchronization of analogue and digital solvers in mixed-signal simulation on a SystemC platform
This contribution proposes a synchronization technique for solvers able to handle analogue extensions to SystemC, for modelling of general, mixed-mode systems with digital and non...
Tom J. Kazmierski, Hessa Al-Junaid
CVPR
2007
IEEE
16 years 1 months ago
On the Blind Classification of Time Series
We propose a cord distance in the space of dynamical models that takes into account their dynamics, including transients, output maps and input distributions. In data analysis app...
Alessandro Bissacco, Stefano Soatto