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» Identification of mixed linear nonlinear state-space models
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KES
2004
Springer
13 years 10 months ago
Detection of Dynamical Transitions in Biomedical Signals Using Nonlinear Methods
The ability to detect the existence of nonlinear dynamics may facilitate medical diagnostics for identifying, monitoring and predicting transitions from health to sickness. Detecti...
Patrick E. McSharry
ICPR
2010
IEEE
13 years 3 months ago
Learning Non-Linear Dynamical Systems by Alignment of Local Linear Models
Abstract—Learning dynamical systems is one of the important problems in many fields. In this paper, we present an algorithm for learning non-linear dynamical systems which works...
Masao Joko, Yoshinobu Kawahara, Takehisa Yairi
CDC
2009
IEEE
130views Control Systems» more  CDC 2009»
13 years 8 months ago
Mixed linear system estimation and identification
We consider a mixed linear system model, with both continuous and discrete inputs and outputs, described by a coefficient matrix and a set of noise variances. When the discrete inp...
Argyrios Zymnis, Stephen P. Boyd, Dimitry M. Gorin...
AUTOMATICA
2006
63views more  AUTOMATICA 2006»
13 years 4 months ago
Inference of disjoint linear and nonlinear sub-domains of a nonlinear mapping
This paper investigates new ways of inferring nonlinear dependence from measured data. The existence of unique linear and nonlinear sub-spaces which are structural invariants of g...
Douglas J. Leith, William E. Leithead, Roderick Mu...
TSP
2010
12 years 11 months ago
Modeling and identification of nonlinear systems in the short-time fourier transform domain
Abstract--In this paper, we introduce a novel approach for improved nonlinear system identification in the short-time Fourier transform (STFT) domain. We first derive explicit repr...
Yekutiel Avargel, Israel Cohen