Hierarchical least squares algorithms for single-input multiple-output systems based on the auxiliary model
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Publication:614326
DOI10.1016/j.mcm.2010.05.025zbMath1202.93085OpenAlexW2017442885MaRDI QIDQ614326
Ruifeng Ding, Linbo Xie, Yuwu Liao, Lili Xiang
Publication date: 27 December 2010
Published in: Mathematical and Computer Modelling (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.mcm.2010.05.025
System identification (93B30) Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10)
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Cites Work
- Unnamed Item
- Unnamed Item
- Hierarchical least-squares based iterative identification for multivariable systems with moving average noises
- Auxiliary model based recursive generalized least squares parameter estimation for Hammerstein OEAR systems
- Combined parameter and output estimation of dual-rate systems using an auxiliary model
- 2-norm based recursive design of transmultiplexers with designable filter length
- Performance analysis of multi-innovation gradient type identification methods
- Auxiliary model-based least-squares identification methods for Hammerstein output-error systems
- A finite-data-window least squares algorithm with a forgetting factor for dynamical modeling
- Multi-innovation least squares identification methods based on the auxiliary model for MISO systems
- Performance analysis of stochastic gradient algorithms under weak conditions
- An approach for identification of uncertain Wiener systems
- Auxiliary model identification method for multirate multi-input systems based on least squares
- Identification for multirate multi-input systems using the multi-innovation identification theory
- The residual based interactive least squares algorithms and simulation studies
- Time series AR modeling with missing observations based on the polynomial transformation
- Least squares based iterative identification for a class of multirate systems
- Auxiliary model-based RELS and MI-ELS algorithm for Hammerstein OEMA systems
- Self-tuning control based on multi-innovation stochastic gradient parameter estimation
- The residual based interactive stochastic gradient algorithms for controlled moving average models
- Auxiliary model based multi-innovation extended stochastic gradient parameter estimation with colored measurement noises
- Multi-innovation stochastic gradient algorithm for multiple-input single-output systems using the auxiliary model
- Hierarchical gradient-based identification of multivariable discrete-time systems
- Convergence of HLS estimation algorithms for multivariable ARX-like systems
- Extended stochastic gradient identification algorithms for Hammerstein-Wiener ARMAX systems
- Application of integral operator for regularized least-square regression
- Mathematical modelling and parameter estimation of the Serra da Mesa basin
- Gradient-based identification methods for Hammerstein nonlinear ARMAX models
- Estimation of the quasi-linear viscoelastic parameters using a genetic algorithm
- Convergence analysis of estimation algorithms for dual-rate stochastic systems
- Identification of Hammerstein nonlinear ARMAX systems
- Amendments to “Performance Analysis of Estimation Algorithms of Nonstationary ARMA Processes” [Mar 06 1041-1053]
- Performance analysis of estimation algorithms of nonstationary ARMA processes
- Least squares based self‐tuning control of dual‐rate systems
- Identification of dual-rate systems based on finite impulse response models
- Hierarchical least squares identification methods for multivariable systems
- Parameter estimation of dual-rate stochastic systems by using an output error method
- Adaptive Digital Control of Hammerstein Nonlinear Systems with Limited Output Sampling
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