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» Mixed linear system estimation and identification
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CDC
2010
IEEE
155views Control Systems» more  CDC 2010»
13 years 1 months ago
Linear parametric noise models for Least Squares Support Vector Machines
In the identification of nonlinear dynamical models it may happen that not only the system dynamics have to be modeled but also the noise has a dynamic character. We show how to ad...
Tillmann Falck, Johan A. K. Suykens, Bart De Moor
MBEC
2010
122views Communications» more  MBEC 2010»
13 years 1 months ago
Real-time estimation of cerebrospinal fluid system parameters via oscillating pressure infusion
Abstract Hydrocephalus is related to a disturbed cerebrospinal fluid (CSF) system. For diagnosis, lumbar infusion test are performed to estimate outflow conductance, Cout, and pres...
Kennet Andersson, Ian R. Manchester, Jan Malm, And...
ARC
2010
Springer
154views Hardware» more  ARC 2010»
13 years 6 months ago
Perspectives on system identification
: System identification is the art and science of building mathematical models of dynamic systems from observed input-output data. It can be seen as the interface between the real ...
Lennart Ljung
AUTOMATICA
2005
152views more  AUTOMATICA 2005»
13 years 6 months ago
Identification of dynamical systems with a robust interval fuzzy model
In this paper we present a new method of interval fuzzy model identification. The method combines a fuzzy identification methodology with some ideas from linear programming theory...
Igor Skrjanc, Saso Blazic, Osvaldo E. Agamennoni
CDC
2010
IEEE
150views Control Systems» more  CDC 2010»
13 years 1 months ago
Nonlinear hybrid system identification with kernel models
Abstract-- This paper focuses on the identification of nonlinear hybrid systems involving unknown nonlinear dynamics. The proposed method extends the framework of [1] by introducin...
Fabien Lauer, Gérard Bloch, René Vid...