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2010
IEEE

Semiparametric identification of Hammerstein systems using input reconstruction and a single harmonic input

9 years 6 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 linear system. Next, we pass a single harmonic signal through the system. We use -delay input reconstruction with the parametric model of the linear system to estimate the inaccessible intermediate signal. Using the estimate of the intermediate signal we estimate a nonparametric model of the static nonlinearity, which is assumed to be only piecewise continuous. This method is demonstrated on several numerical and experimental examples of increasing complexity.
Anthony M. D'Amato, Kenny S. Mitchell, Bruno Ot&aa
Added 13 May 2011
Updated 13 May 2011
Type Journal
Year 2010
Where CDC
Authors Anthony M. D'Amato, Kenny S. Mitchell, Bruno Otávio Soares Teixeira, Dennis S. Bernstein
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