Hierarchical least squares algorithms for nonlinear feedback system modeling
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Publication:328119
DOI10.1016/j.jfranklin.2016.03.015zbMath1347.93275OpenAlexW2312358459MaRDI QIDQ328119
Zhicheng Ji, Dinghui Wu, Ziyun Wang, Yanxia Shen
Publication date: 20 October 2016
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2016.03.015
nonlinear feedbackhierarchical least squares algorithmsWiener feedback finite impulse response moving average model
Feedback control (93B52) Least squares and related methods for stochastic control systems (93E24) Stochastic systems in control theory (general) (93E03)
Related Items (4)
Robust hierarchical identification of Wiener systems in the presence of dynamic disturbances ⋮ A novel two-stage estimation algorithm for nonlinear Hammerstein-Wiener systems from noisy input and output data ⋮ Computationally efficient identification of continuous-time Lur'e-type systems with stability guarantees ⋮ Orthotopic-filtering-based fault diagnosis algorithms for nonlinear systems with slowly varying faults
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