Parameter bounds for discrete-time hammerstein models with bounded output errors
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Publication:5266728
DOI10.1109/TAC.2003.817945zbMath1364.93417OpenAlexW2113515275MaRDI QIDQ5266728
Publication date: 20 June 2017
Published in: IEEE Transactions on Automatic Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1109/tac.2003.817945
Related Items (19)
Computational complexity analysis of set membership identification of Hammerstein and Wiener systems ⋮ A unified approach for the parametric identification of SISO/MIMO Wiener and Hammerstein systems ⋮ Parameter estimation for an input nonlinear state space system with time delay ⋮ Iterative identification of Hammerstein systems ⋮ Bounded error identification of Hammerstein systems through sparse polynomial optimization ⋮ Auxiliary model-based least-squares identification methods for Hammerstein output-error systems ⋮ Parameter bounds evaluation of Wiener models with noninvertible polynomial nonlinearities ⋮ Auxiliary model based least squares parameter estimation algorithm for feedback nonlinear systems using the hierarchical identification principle ⋮ One-shot set-membership identification of generalized Hammerstein-Wiener systems ⋮ Gradient based estimation algorithm for Hammerstein systems with saturation and dead-zone nonlinearities ⋮ Gradient-based identification methods for Hammerstein nonlinear ARMAX models ⋮ Multistage least squares based iterative estimation for feedback nonlinear systems with moving average noises using the hierarchical identification principle ⋮ Identification of an additive nonlinear system and its applications in generalized Hammerstein models ⋮ Parameter estimation error bounds for Hammerstein nonlinear finite impulsive response models ⋮ Least squares based and gradient based iterative identification for Wiener nonlinear systems ⋮ Auxiliary model-based RELS and MI-ELS algorithm for Hammerstein OEMA systems ⋮ Least squares solutions of bilinear equations ⋮ Hierarchical least squares identification for Hammerstein nonlinear controlled autoregressive systems ⋮ Identification of Hammerstein nonlinear ARMAX systems
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