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Communication Dans Un Congrès Année : 2013

Empirical recovery of input nonlinearity in distributed element models

Résumé

Two algorithms recovering an input nonlinearity in a nonlinear distributed element modeled as a Hammerstein system are proposed. The first is based on the empirical distribution function while the other on the empirical Haar orthogonal series. Both algorithms self-adjust their accuracy to a local density of the input measurements.
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Dates et versions

hal-00862807 , version 1 (17-09-2013)

Identifiants

  • HAL Id : hal-00862807 , version 1

Citer

P. Sliwinski, L. Berezowski, P. Wachel, G. Sicard, Laurent Fesquet. Empirical recovery of input nonlinearity in distributed element models. 11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing (ALCOSP), Jul 2013, Caen, France. Paper ThS6T3.5. ⟨hal-00862807⟩

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