Gradient-Based Recursive Parameter Estimation Methods for a Class of Time-Varying Systems from Noisy Observations DOI
Ning Xu,

Qinyao Liu,

Feng Ding

et al.

Circuits Systems and Signal Processing, Journal Year: 2024, Volume and Issue: 43(11), P. 7089 - 7116

Published: July 29, 2024

Language: Английский

Auxiliary model‐based recursive least squares and stochastic gradient algorithms and convergence analysis for feedback nonlinear output‐error systems DOI Open Access
Guangqin Miao, Dan Yang, Feng Ding

et al.

International Journal of Adaptive Control and Signal Processing, Journal Year: 2024, Volume and Issue: 38(10), P. 3268 - 3289

Published: July 29, 2024

Summary This paper deals with the problem of parameter estimation for feedback nonlinear output‐error systems. The auxiliary model‐based recursive least squares algorithm and stochastic gradient are derived estimation. Based on process theory, convergence proposed algorithms proved. simulation results indicate that can estimate parameters systems effectively.

Language: Английский

Citations

9
A coupled recursive least squares algorithm for multivariable systems and its computational amount analysis by using the coupling identification concept DOI Open Access
Yu Jin, Feng Ding

International Journal of Adaptive Control and Signal Processing, Journal Year: 2023, Volume and Issue: 38(2), P. 513 - 533

Published: Nov. 15, 2023

Summary In order to solve the problem of parameter identification for large‐scale multivariable systems, which leads a large amount computation algorithms, two recursive least squares algorithms are derived according characteristics systems. To further reduce and cut down redundant estimation, we propose coupled algorithm based on coupling concept. By same estimates between sub‐identification estimation subsystem vectors avoided. Compared with proposed in this article have higher computational efficiency smaller errors. Finally, simulation example tests effectiveness algorithm.

Language: Английский

Citations

17
Auxiliary model-based hierarchical stochastic gradient methods for multiple-input multiple-output systems DOI

Haoming Xing,

Feng Ding, Feng Pan

et al.

Journal of Computational and Applied Mathematics, Journal Year: 2023, Volume and Issue: 442, P. 115687 - 115687

Published: Nov. 22, 2023

Language: Английский

Citations

17
Regularization based reweighted estimation algorithms for nonlinear systems in presence of outliers DOI
Yawen Mao, Xu Chen, Jing Chen

et al.

Nonlinear Dynamics, Journal Year: 2024, Volume and Issue: 112(15), P. 13131 - 13146

Published: May 28, 2024

Language: Английский

Citations

8
Gradient-Based Recursive Parameter Estimation Methods for a Class of Time-Varying Systems from Noisy Observations DOI
Ning Xu,

Qinyao Liu,

Feng Ding

et al.

Circuits Systems and Signal Processing, Journal Year: 2024, Volume and Issue: 43(11), P. 7089 - 7116

Published: July 29, 2024

Language: Английский

Citations

8