Parameter Estimation of Parallel Wiener-Hammerstein Systems by Decoupling their Volterra Representations
Sign Up to like & getrecommendations! Published in 2021 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2021.08.402
Abstract: Abstract Nonlinear dynamic systems are often approximated by a Volterra series, which is a generalization of the Taylor series for systems with memory. However, the Volterra series lacks physical interpretation. To take advantage of the… read more here.
Keywords: parameter estimation; parallel wiener; wiener hammerstein; hammerstein systems ... See more keywords
Adaptive filtering scheme for parameter identification of nonlinear Wiener–Hammerstein systems and its application
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DOI: 10.1080/00207179.2019.1566634
Abstract: ABSTRACT In this paper, a novel adaptive filtering scheme is first proposed to estimate the parameters of the nonlinear Wiener–Hammerstein systems with hysteresis, which is derived by exploiting the filtering technique and cost function framework.… read more here.
Keywords: adaptive filtering; filtering; filtering scheme; nonlinear wiener ... See more keywords
Decomposition-based recursive least-squares parameter estimation algorithm for Wiener-Hammerstein systems with dead-zone nonlinearity
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Systems Science"
DOI: 10.1080/00207721.2017.1320455
Abstract: ABSTRACT In this paper, a decomposition-based recursive least-squares algorithm is proposed for the parameter estimation of Wiener-Hammerstein systems with dead-zone. Based on a smooth parameterisation of the dead-zone nonlinearity, the Wiener-Hammerstein systems with dead-zone can… read more here.
Keywords: recursive least; least squares; systems dead; hammerstein systems ... See more keywords