Hierarchical least squares identification for Hammerstein nonlinear controlled autoregressive systems
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Publication:736348
DOI10.1007/s00034-014-9839-9zbMath1341.93089OpenAlexW2057547212MaRDI QIDQ736348
Publication date: 4 August 2016
Published in: Circuits, Systems, and Signal Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00034-014-9839-9
recursive identificationparameter estimationleast squaresHammerstein modelhierarchical identificationover-parameterization
Nonlinear systems in control theory (93C10) Estimation and detection in stochastic control theory (93E10) Least squares and related methods for stochastic control systems (93E24) Identification in stochastic control theory (93E12)
Related Items (10)
A hierarchical least squares identification algorithm for Hammerstein nonlinear systems using the key term separation ⋮ Design of modified fractional adaptive strategies for Hammerstein nonlinear control autoregressive systems ⋮ Hierarchical multi-innovation extended stochastic gradient algorithms for input nonlinear multivariable OEMA systems by the key-term separation principle ⋮ Recursive least squares identification of hybrid Box-Jenkins model structure in open-loop and closed-loop ⋮ Filtering-based multistage recursive identification algorithm for an input nonlinear output-error autoregressive system by using the key term separation technique ⋮ A sliding-window approximation-based fractional adaptive strategy for Hammerstein nonlinear ARMAX systems ⋮ Multierror stochastic gradient algorithm for identification of a Hammerstein system with random noise and its application in the modeling of a continuous stirring tank reactor ⋮ Model equivalence-based identification algorithm for equation-error systems with colored noise ⋮ Bias compensation principle based recursive least squares identification method for Hammerstein nonlinear systems ⋮ Identification of Hammerstein systems with continuous nonlinearity
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