Search Results - "recursive least squares parameter estimation algorithms"

The Filtering Based Maximum Likelihood Recursive Least Squares Parameter Estimation Algorithms for a Class of Nonlinear Stochastic Systems with Colored Noise

Authors: Longjin Wang Shun An Yan He et al.

Source: International Journal of Control, Automation and Systems. 21:151-160

Subject Terms: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Recursive Least Squares Parameter Estimation Algorithms for a Class of Nonlinear Stochastic Systems With Colored Noise Based on the Auxiliary Model and Data Filtering

Authors: Longjin Wang Yan He

Source: IEEE Access, Vol 7, Pp 181295-181304 (2019)

Subject Terms: least squares, 0209 industrial biotechnology, Parameter estimation, 0202 electrical engineering, electronic engineering, information engineering, bilinear system, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, data filtering, recursive identification, TK1-9971

Access URL: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08917629.pdf
https://doaj.org/article/21bd1e1d54bc42ca98879771ff6e395f
https://dblp.uni-trier.de/db/journals/access/access7.html#WangH19c
https://ieeexplore.ieee.org/abstract/document/8917629/

Two recursive least squares parameter estimation algorithms for multirate multiple-input systems by using the auxiliary model

Authors: Fang-Xiang Wu Jie Sheng Lili Han et al.

Source: Mathematics and Computers in Simulation. 82:777-789

Subject Terms: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: http://www.sciencedirect.com/science/article/pii/S0378475411002576
https://doi.org/10.1016/j.matcom.2011.05.014
https://ideas.repec.org/a/eee/matcom/v82y2012i5p777-789.html
https://dblp.uni-trier.de/db/journals/mcs/mcs82.html#HanWSD12
https://www.sciencedirect.com/science/article/pii/S0378475411002576
https://EconPapers.repec.org/RePEc:eee:matcom:v:82:y:2012:i:5:p:777-789

The Filtering Based Maximum Likelihood Recursive Least Squares Parameter Estimation Algorithms for a Class of Nonlinear Stochastic Systems with Colored Noise.

Authors: Wang, Longjin An, Shun He, Yan et al.

Source: International Journal of Control, Automation & Systems; Jan2023, Vol. 21 Issue 1, p151-160, 10p

Two recursive least squares parameter estimation algorithms for multirate multiple-input systems by using the auxiliary model

Authors: Han, Lili Wu, Fangxiang Sheng, Jie et al.

Relation: http://www.sciencedirect.com/science/article/pii/S0378475411002576

Availability: http://www.sciencedirect.com/science/article/pii/S0378475411002576

Auxiliary model maximum likelihood least squares-based iterative algorithm for multivariable autoregressive output-error autoregressive moving average systems.

Authors: Zhang, Qian Wang, Huihui Liu, Ximei

Source: Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems & Control Engineering; Mar2025, Vol. 239 Issue 3, p441-463, 23p

Weighted multi‐innovation parameter estimation for a time‐varying Volterra–Hammerstein system with colored noise.

Authors: Zhao, Yanshuai Ji, Yan

Source: Optimal Control - Applications & Methods; Jan/Feb2025, Vol. 46 Issue 1, p271-291, 21p

Subject Terms: COMPUTER simulation, NOISE, ALGORITHMS, MATRICES (Mathematics), PARAMETER estimation

Separable Synchronous Gradient‐Based Iterative Algorithms for the Nonlinear ExpARX System.

Authors: Gu, Ya Hou, Yuting Li, Chuanjiang et al.

Source: International Journal of Adaptive Control & Signal Processing; Dec2024, Vol. 38 Issue 12, p3801-3818, 18p

Subject Terms: PIEZOELECTRIC ceramics, PARAMETER estimation, SYSTEM identification, NONLINEAR systems, COMPUTATIONAL complexity

Highly efficient maximum-likelihood identification methods for bilinear systems with colored noises.

Authors: Li, Meihang Liu, Ximei Fan, Yamin et al.

Source: Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems & Control Engineering; Nov2024, Vol. 238 Issue 10, p1763-1784, 22p

Iterative parameter identification for Hammerstein systems with ARMA noises by using the filtering identification idea.

Authors: Bedoui, Saida Abderrahim, Kamel Ding, Feng

Source: International Journal of Adaptive Control & Signal Processing; Sep2024, Vol. 38 Issue 9, p3134-3160, 27p

Subject Terms: LEAST squares, LINEAR systems, SYSTEM identification, NONLINEAR systems, NOISE

Distributed Bearing-based Formation Control With Edge-triggered Observers.

Authors: Ding, Can Zhang, Zhe Zhang, Jing

Source: International Journal of Control, Automation & Systems; Sep2024, Vol. 22 Issue 9, p2769-2782, 14p

Hierarchical estimation methods based on the penalty term for controlled autoregressive systems with colored noises.

Authors: Sun, Huanqi Xiong, Weili Ding, Feng et al.

Source: International Journal of Robust & Nonlinear Control; 7/10/2024, Vol. 34 Issue 10, p6804-6826, 23p

Subject Terms: PARAMETER estimation, MOVING average process, NOISE

Identification of Multi-Innovation Stochastic Gradients with Maximum Likelihood Algorithm Based on Ship Maneuverability and Wave Peak Models.

Authors: Liu, Yang Zhang, Qiang Wang, Longjin et al.

Source: Journal of Marine Science & Engineering; Jan2024, Vol. 12 Issue 1, p142, 23p

Subject Terms: SHIP maneuverability, PARAMETER identification, SHIP models, ALGORITHMS, DISCRETION

Nonlinear trajectory estimation using extended state-space recursive least squares.

Authors: Abid, Anam

Source: Review of Scientific Instruments; Nov2023, Vol. 94 Issue 11, p1-10, 10p

Subject Terms: KALMAN filtering, NONLINEAR estimation, GLOBAL Positioning System, AUTONOMOUS robots, NONLINEAR systems

Recursive least squares parameter identification algorithms for systems with colored noise using the filtering technique and the auxilary model.

Authors: Ding, Feng Wang, Yanjiao Ding, Jie

Source: Digital Signal Processing. Feb2015, Vol. 37, p100-108. 9p.

Subject Terms: *LEAST squares, *ALGORITHMS, *PARAMETER estimation, *AUTOREGRESSIVE models, *ERROR analysis in mathematics

A Method of Reducing Invalid Steering for AUVs Based on a Wave Peak Frequency Tracker.

Authors: Yuan, Jianping Li, Jin Dong, Zhihui et al.

Source: Sustainability (2071-1050); Nov2022, Vol. 14 Issue 22, p15357, 14p

The multi-innovation extended Kalman filter algorithm for battery SOC estimation.

Authors: Li, Wenqian Yang, Yan Wang, Dongqing et al.

Source: Ionics; Dec2020, Vol. 26 Issue 12, p6145-6156, 12p

Decomposition‐based multiinnovation gradient identification algorithms for a special bilinear system based on its input‐output representation.

Authors: Wang, Longjin Ji, Yan Yang, Hualin et al.

Source: International Journal of Robust & Nonlinear Control; Jun2020, Vol. 30 Issue 9, p3607-3623, 17p

Subject Terms: IDENTIFICATION, MIMO radar, PARAMETER estimation, ALGORITHMS

Bias compensation recursive algorithm for dual‐rate rational models.

Authors: Chen, Jing Liu, Yanjun Zhu, Quanmin

Source: IET Control Theory & Applications (Wiley-Blackwell). Nov2018, Vol. 12 Issue 17, p2184-2193. 10p.

Multi-innovation extended stochastic gradient algorithm for multi-input multi-output controlled autoregressive moving average systems by using the filtering technique.

Authors: Xiao Jiang Jian Pan Xiangkui Wan et al.

Source: 2016 American Control Conference (ACC); 2016, p925-929, 5p