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» Nonlinear hybrid system identification with kernel models
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HYBRID
2010
Springer
14 years 11 months ago
Identifiability of discrete-time linear switched systems
In this paper we study the identifiability of linear switched systems (LSSs ) in discrete-time. The question of identifiability is central to system identification, as it sets the...
Mihály Petreczky, Laurent Bako, Jan H. van ...
CVPR
2009
IEEE
1962views Computer Vision» more  CVPR 2009»
16 years 3 months ago
Histograms of Oriented Optical Flow and Binet-Cauchy Kernels on Nonlinear Dynamical Systems for the Recognition of Human Actions
System theoretic approaches to action recognition model the dynamics of a scene with linear dynamical systems (LDSs) and perform classification using metrics on the space of LDSs, ...
Rizwan Chaudhry, Avinash Ravichandran, Gregory D. ...
77
Voted
AUTOMATICA
2008
98views more  AUTOMATICA 2008»
14 years 9 months ago
An algorithm for bounded-error identification of nonlinear systems based on DC functions
This paper presents a guaranteed method for the parameter estimation of nonlinear models in a bounded-error context. This method is based on functions which consists of the differ...
J. M. Bravo, T. Alamo, M. J. Redondo, Eduardo F. C...
ISER
1991
Springer
192views Robotics» more  ISER 1991»
15 years 1 months ago
System Identification and Modelling of A High Performance Hydraulic Actuator
Detailed knowledge of actuator properties is a prerequisite for advanced manipulator design and control. This paper deals with the experimental identification and modelling of the...
Benoit Boulet, Laeeque Daneshmend, Vincent Hayward...
ICPR
2006
IEEE
15 years 10 months ago
A Hybrid HMM-Based Speech Recognizer Using Kernel-Based Discriminants as Acoustic Models
In this paper we propose a novel order-recursive training algorithm for kernel-based discriminants which is computationally efficient. We integrate this method in a hybrid HMM-bas...
Edin Andelic, Marcel Katz, Martin Schafföner,...