Gradient-based iterative identification for Wiener nonlinear dynamic systems with moving average noises
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Publication:1736704
DOI10.3390/a8030712zbMath1461.93526OpenAlexW2167745668MaRDI QIDQ1736704
Huigang Xu, Peiyi Zhu, Lincheng Zhou, Xiang-Li Li
Publication date: 26 March 2019
Published in: Algorithms (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3390/a8030712
iterative algorithmparameter estimationnonlinear dynamic systemstochastic gradientoutput error moving average
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Cites Work
- Iterative parameter identification methods for nonlinear functions
- Least squares based and gradient based iterative identification for Wiener nonlinear systems
- Hierarchical gradient based iterative parameter estimation algorithm for multivariable output error moving average systems
- Gradient-based iterative parameter estimation for Box-Jenkins systems
- MINLIP for the identification of monotone Wiener systems
- A stochastic conjugate gradient method for the approximation of functions
- Parameter identification of Wiener systems with multisegment piecewise-linear nonlinearities
- Parameter estimation error bounds for Hammerstein nonlinear finite impulsive response models
- Auxiliary model-based RELS and MI-ELS algorithm for Hammerstein OEMA systems
- Application of gradient descent method to the sedimentary grain-size distribution fitting
- Identification of dual-rate sampled Hammerstein systems with a piecewise-linear nonlinearity using the key variable separation technique
- Gradient-based estimation of Manning's friction coefficient from noisy data
- Parameter estimation for Hammerstein CARARMA systems based on the Newton iteration
- Iterative identification algorithm for Wiener nonlinear systems using the Newton method
- Gradient based iterative parameter identification for Wiener nonlinear systems
- An iterative numerical algorithm for modeling a class of Wiener nonlinear systems
- Multi-innovation extended stochastic gradient algorithm and its performance analysis
- Gradient-based iterative identification for MISO Wiener nonlinear systems: application to a glutamate fermentation process
- Maximum likelihood identification of Wiener models
- Least squares estimation for a class of non-uniformly sampled systems based on the hierarchical identification principle
- Gradient based estimation algorithm for Hammerstein systems with saturation and dead-zone nonlinearities
- Gradient-based iterative identification for Wiener nonlinear systems with non-uniform sampling
- Gradient-based iterative identification for nonuniform sampling output error systems
- Modified stochastic gradient identification algorithms with fast convergence rates
- Least-squares-based iterative identification algorithm for Hammerstein nonlinear systems with non-uniform sampling
