Recursive identification of errors-in-variables Wiener-Hammerstein systems

DOI10.1016/j.ejcon.2013.10.005zbMath1293.93755OpenAlexW2094708489MaRDI QIDQ397541

Bi-Qiang Mu, Chen, Hanfu

Publication date: 12 August 2014

Published in: European Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejcon.2013.10.005

zbMATH Keywords

stochastic approximationerrors-in-variablesstrong consistencyrecursive estimationWiener-Hammerstein systems

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Identification in stochastic control theory (93E12)

Related Items

Linear approximation and identification of MIMO Wiener-Hammerstein systems, Hierarchical least squares algorithms for nonlinear feedback system modeling, Identification of block-oriented nonlinear systems starting from linear approximations: a survey, A novel two-stage estimation algorithm for nonlinear Hammerstein-Wiener systems from noisy input and output data, Initial estimates for Wiener-Hammerstein models using phase-coupled multisines, Consensus-based decentralized real-time identification of large-scale systems

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