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CDC
2010
IEEE
144views Control Systems» more  CDC 2010»
12 years 11 months ago
Semiparametric identification of Hammerstein systems using input reconstruction and a single harmonic input
We present a two-step method for identifying SISO Hammerstein systems. First, using a persistent input with retrospective cost optimization, we estimate a parametric model of the l...
Anthony M. D'Amato, Kenny S. Mitchell, Bruno Ot&aa...
CDC
2010
IEEE
155views Control Systems» more  CDC 2010»
12 years 11 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
INFORMATICALT
2006
129views more  INFORMATICALT 2006»
13 years 4 months ago
On the Identification of Hammerstein Systems Having Saturation-like Functions with Positive Slopes
Abstract. The aim of the given paper is the development of an approach for parametric identification of Hammerstein systems with piecewise linear nonlinearities, i.e., when the sat...
Rimantas Pupeikis
ICASSP
2011
IEEE
12 years 8 months ago
Identification of MISO nonlinear systems via the semiparametric approach
In this paper we examine a class of multiple-input, singleoutput (MISO) nonlinear systems of the block-oriented structure. In particular, we focus on MISO Hammerstein systems bein...
Jiaqing Lv, Miroslaw Pawlak
CDC
2010
IEEE
145views Control Systems» more  CDC 2010»
12 years 11 months ago
Multivariable frequency domain identification using IV-based linear regression
Abstract-- Identification of output error models from frequency domain data generally results in a non-convex optimization problem. A well-known method to approach the output error...
Rogier S. Blom, Paul M. J. Van den Hof