DATA FILTERING BASED STOCHASTIC GRADIENT ALGORITHMS FOR MULTIVARIABLE CARAR-LIKE SYSTEMS

DOI10.3846/13926292.2013.804889zbMath1271.93164OpenAlexW2033298423MaRDI QIDQ2846822

Rui Ding, Tong Shan, Dong-Qing Wang

Publication date: 3 September 2013

Published in: Mathematical Modelling and Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3846/13926292.2013.804889

zbMATH Keywords

error estimatesparameter identificationmathematical model

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Multivariable systems, multidimensional control systems (93C35) Identification in stochastic control theory (93E12)

Related Items (4)

A novel two-stage estimation algorithm for nonlinear Hammerstein-Wiener systems from noisy input and output data ⋮ Design of normalized fractional adaptive algorithms for parameter estimation of control autoregressive autoregressive systems ⋮ Recursive least squares identification methods for multivariate pseudo-linear systems using the data filtering ⋮ Several gradient-based iterative estimation algorithms for a class of nonlinear systems using the filtering technique

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