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SIMPRA
2008
125views more  SIMPRA 2008»
13 years 8 months ago
Identification of Wiener models using optimal local linear models
The Wiener model is a versatile nonlinear block oriented model structure for miscellaneous applications. In this paper a method for identifying the parameters of such a model usin...
Martin Kozek, Sabina Sinanovic
CDC
2009
IEEE
131views Control Systems» more  CDC 2009»
14 years 12 days ago
Further results on plant parameter identification using continuous-time multiple-model adaptive estimators
This paper describes a deterministic approach to adaptive state and parameter estimation using a multiple model structure. In the set-up adopted, the plant of interest is described...
Vahid Hassani, A. Pedro Aguiar, António Man...
INFORMATICALT
2010
112views more  INFORMATICALT 2010»
13 years 5 months ago
Recursive Identification of Systems with Noninvertible Output Nonlinearities
Abstract. The paper deals with the recursive identification of dynamic systems having noninvertible output characteristics, which can be represented by the Wiener model. A special ...
Jozef Vörös
AUTOMATICA
2004
77views more  AUTOMATICA 2004»
13 years 8 months ago
Non-asymptotic quality assessment of generalised FIR models with periodic inputs
In any real-life identification problem, only a finite number of data points is available. On the other hand, almost all results in stochastic identification pertain to asymptotic...
Marco C. Campi, Su Ki Ooi, Erik Weyer
ICIP
2009
IEEE
13 years 6 months ago
A sensor-based approach to linear blur identification for real-time video enhancement
Super-resolution (SR) methods are largely affected by the accurate evaluation of the Point Spread Function (PSF) that is related to the input frames. When the frames are degraded ...
Maria E. Angelopoulou, Christos-Savvas Bouganis, P...