Multistage for identification of Wiener time delay systems based on hierarchical gradient approach
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Publication:5035719
DOI10.1080/13873954.2016.1242143zbMath1485.93602OpenAlexW2532553709MaRDI QIDQ5035719
Saïda Bedoui, Asma Atitallah, Kamel Abderrahim
Publication date: 22 February 2022
Published in: Mathematical and Computer Modelling of Dynamical Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/13873954.2016.1242143
identificationgradient methodconvex analysisparameter estimationstime delay estimationWiener systemshierarchical approach
Related Items (7)
Hierarchical stochastic gradient algorithm and its performance analysis for a class of bilinear-in-parameter systems ⋮ Parametric identification with performance assessment of Wiener systems using brain storm optimization algorithm ⋮ Parameter and state estimation of nonlinear fractional-order model using Luenberger observer ⋮ Decomposition-based gradient estimation algorithms for multivariate equation-error autoregressive systems using the multi-innovation theory ⋮ Tracking coefficients of a nonstationary system, followed by static nonlinearity jointly with the time delay ⋮ Two-stage multi-innovation stochastic gradient algorithm for multivariate output-error ARMA systems based on the auxiliary model ⋮ Parameter estimation for an exponential autoregressive time series model by the Newton search and multi-innovation theory
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