Parameter identification of Wiener systems with discontinuous nonlinearities
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Publication:5958428
DOI10.1016/S0167-6911(01)00155-4zbMath0986.93020WikidataQ126635612 ScholiaQ126635612MaRDI QIDQ5958428
Publication date: 3 March 2002
Published in: Systems \& Control Letters (Search for Journal in Brave)
Related Items (20)
Identification for disturbed MIMO Wiener systems ⋮ Instrumental variables approach to identification of a class of MIMO Wiener systems ⋮ Combined parameter and state estimation algorithms for multivariable nonlinear systems using MIMO Wiener models ⋮ Parameter identification of Wiener systems with multisegment piecewise-linear nonlinearities ⋮ Recursive identification algorithm for dynamic systems with output backlash and its convergence ⋮ Variable knot-based spline approximation recursive Bayesian algorithm for the identification of Wiener systems with process noise ⋮ System identification of a class of Wiener systems with hysteretic nonlinearities ⋮ Identification of Wiener, Hammerstein, and NARX systems as Markov chains with improved estimates for their nonlinearities ⋮ Markov chain approach to identifying Wiener systems ⋮ Iterative estimation methods for Hammerstein controlled autoregressive moving average systems based on the key-term separation principle ⋮ Towards identification of Wiener systems with the least amount of a priori information on the nonlinearity ⋮ Combined frequency-prediction error identification approach for Wiener systems with backlash and backlash-inverse operators ⋮ Nonparametric approach to identifying NARX systems ⋮ Subspace identification for non-linear systems with measured-input non-linearities ⋮ Identification of Wiener systems with nonlinearity being piecewise-linear function ⋮ Parameter identification methods for an additive nonlinear system ⋮ Identification for Wiener systems with RTF subsystems ⋮ Identification for Wiener systems with internal noise ⋮ Towards identification of Wiener systems with the least amount of a priori information: IIR cases ⋮ Strong consistence of recursive identification for Wiener systems
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- Iterative algorithm for parameter identification of Hammerstein systems with two-segment nonlinearities
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