Search Results - recursive least squares algorithm with auxiliary variable*

An Online Dynamic Model Identification Method Based on AM-VFFRLS for High-speed Trains.

Authors: Yun-Ti Meng Xiao-Yu Zhao

Source: IAENG International Journal of Computer Science. Dec2025, Vol. 52 Issue 12, p4995-5003. 9p.

Subject Terms: High speed trains, Dynamic models, Parameter estimation, Least squares

Recursive hierarchical parametric identification of Wiener-Hammerstein systems based on initial value optimization.

Authors: Li, Qiangya Liu, Tao Na, Jing et al.

Source: ISA Transactions. Mar2025, Vol. 158, p697-714. 18p.

Subject Terms: Particle swarm optimization, Stochastic systems, Parameter estimation, System identification, Block designs

Hierarchical Least Squares Identification for the Multivariate Input Nonlinear Controlled Autoregressive Moving Average Systems.

Authors: Qiu, Fang Wang, Lei Mu, Wenying et al.

Source: International Journal of Adaptive Control & Signal Processing. Jun2025, Vol. 39 Issue 6, p1174-1192. 19p.

Subject Terms: *PARAMETER estimation, *NONLINEAR systems, *SYSTEM identification, *MOVING average process, *ALGORITHMS

Grey Box Modeling of Gas Temperature for a High-Speed and High-Temperature Heat-Airflow Test System

Authors: Yingfang Xue Chaozhi Cai Hui Xu

Source: Applied Sciences, Vol 12, Iss 12883, p 12883 (2022)

Subject Terms: gas temperature, grey box modeling, first principle modeling, recursive least squares algorithm with auxiliary variable, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: https://www.mdpi.com/2076-3417/12/24/12883; https://doaj.org/toc/2076-3417; https://doaj.org/article/fd0cee97857441cebf62ca847c3356f3

Availability: https://doi.org/10.3390/app122412883
https://doaj.org/article/fd0cee97857441cebf62ca847c3356f3

Auxiliary Variable-Based Identification Algorithms for Uncertain-Input Models.

Authors: Chen, Jing Zhu, Quanmin Chandra, Budi et al.

Source: Circuits, Systems & Signal Processing. Jul2020, Vol. 39 Issue 7, p3389-3404. 16p.

Subject Terms: *ALGORITHMS, *IDENTIFICATION, *UNCERTAIN systems, *LEAST squares

Unbiased recursive least squares identification methods for a class of nonlinear systems with irregularly missing data.

Authors: Liu, Wenxuan Li, Meihang

Source: International Journal of Adaptive Control & Signal Processing. Aug2023, Vol. 37 Issue 8, p2247-2275. 29p.

Subject Terms: *MISSING data (Statistics), *NONLINEAR systems, *KALMAN filtering, *PARAMETER estimation, *MANUFACTURING processes, *PROBLEM solving

Least squares based iterative identification algorithms for input nonlinear controlled autoregressive systems based on the auxiliary model

Authors: Rui Ding Huiyi Hu

Source: Nonlinear Dynamics. 76:777-784

Subject Terms: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 16. Peace & justice, 3. Good health

Access URL: https://link.springer.com/article/10.1007/s11071-013-1168-1
https://link.springer.com/content/pdf/10.1007%2Fs11071-013-1168-1.pdf

Recursive least squares parameter estimation algorithm for dual-rate sampled-data nonlinear systems

Authors: Xiangli Li Jie Sheng Lincheng Zhou et al.

Source: Nonlinear Dynamics. 76:1327-1334

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

Access URL: https://link.springer.com/content/pdf/10.1007%2Fs11071-013-1212-1.pdf
https://link.springer.com/article/10.1007/s11071-013-1212-1
https://rd.springer.com/article/10.1007/s11071-013-1212-1

Recursive least squares estimation algorithm applied to a class of linear-in-parameters output error moving average systems

Authors: Tao Tang Cheng Wang

Source: Applied Mathematics Letters. 29:36-41

Subject Terms: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 3. Good health

The recursive least squares identification algorithm for a class of Wiener nonlinear systems

Authors: Feng Ding Ximei Liu Manman Liu

Source: Journal of the Franklin Institute. 353:1518-1526

Subject Terms: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 16. Peace & justice

Access URL: https://www.sciencedirect.com/science/article/abs/pii/S0016003216000818
https://dblp.uni-trier.de/db/journals/jfi/jfi353.html#DingLL16
https://doi.org/10.1016/j.jfranklin.2016.02.013

Least squares based iterative identification algorithms for input nonlinear controlled autoregressive systems based on the auxiliary model.

Authors: Hu, Huiyi Ding, Rui

Source: Nonlinear Dynamics; Apr2014, Vol. 76 Issue 1, p777-784, 8p

Recursive Variable Projection Algorithm for a Class of Separable Nonlinear Models.

Authors: Gan, Min Guan, Yu Chen, Guang-Yong et al.

Source: IEEE Transactions on Neural Networks & Learning Systems; Nov2021, Vol. 32 Issue 11, p4971-4982, 12p

Subject Terms: ALGORITHMS, SIGNAL processing, SYSTEM identification, PARAMETER estimation, MACHINE learning, RECURSION theory

Novel recursive least squares identification for a class of nonlinear multiple-input single-output systems using the filtering technique

Authors: Cheng Wang Jing Xun

Source: Advances in Mechanical Engineering, Vol 8 (2016)

Subject Terms: Mechanical engineering and machinery, TJ1-1570

File Description: electronic resource

Relation: https://doaj.org/toc/1687-8140

Access URL: https://doaj.org/article/1782ec7a79e24ba9b813f9f5cd8f009d

Recursive Least-Squares Estimation for Hammerstein Nonlinear Systems with Nonuniform Sampling

Authors: Jie Sheng Lincheng Zhou Ruifeng Ding et al.

Source: Mathematical Problems in Engineering. 2013:1-8

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

File Description: text/xhtml

Access URL: https://www.hindawi.com/journals/mpe/2013/240929/
https://downloads.hindawi.com/journals/mpe/2013/240929.pdf

Identification of fractional order Hammerstein models based on mixed signals.

Authors: Sun, Mengqi Wang, Hongwei Zhang, Qian

Source: Journal of Control & Decision; Jan2024, Vol. 11 Issue 1, p132-138, 7p

Subject Terms: FUZZY neural networks, PARAMETER identification, IDENTIFICATION

Auxiliary model‐based recursive least squares and stochastic gradient algorithms and convergence analysis for feedback nonlinear output‐error systems.

Authors: Miao, Guangqin Yang, Dan Ding, Feng

Source: International Journal of Adaptive Control & Signal Processing; Oct2024, Vol. 38 Issue 10, p3268-3289, 22p

Subject Terms: NONLINEAR systems, STOCHASTIC processes, LEAST squares, NONLINEAR estimation, NONLINEAR analysis, PARAMETER estimation

A coupled recursive least squares algorithm for multivariable systems and its computational amount analysis by using the coupling identification concept.

Authors: Jin, Yu Ding, Feng

Source: International Journal of Adaptive Control & Signal Processing; Feb2024, Vol. 38 Issue 2, p513-533, 21p

Subject Terms: PARAMETER estimation, LEAST squares, PROBLEM solving, ALGORITHMS

Distributed Adaptive Thresholding Graph Recursive Least Squares Algorithm.

Authors: Maleki, Nafiseh Azghani, Masoumeh Sadeghi, Nasser

Source: Circuits, Systems & Signal Processing; Aug2024, Vol. 43 Issue 8, p4952-4967, 16p

Subject Terms: COST functions, SPARSE graphs, COMPUTER simulation, DISTRIBUTED algorithms, ALGORITHMS, SIGNALS & signaling, THRESHOLDING algorithms

Hierarchical fractional-order Hammerstein system identification.

Authors: Marzougui, Soumaya Atitallah, Asma Bedoui, Saida et al.

Source: International Journal of Systems Science. Sep2021, Vol. 52 Issue 12, p2505-2517. 13p.

Subject Terms: *SYSTEM identification, *ALGORITHMS, *NONLINEAR systems, *WHITE noise

Auxiliary model‐based recursive least squares algorithm for two‐input single‐output Hammerstein output‐error moving average systems by using the hierarchical identification principle.

Authors: Liu, Jian Ji, Yan

Source: International Journal of Robust & Nonlinear Control; 9/10/2022, Vol. 32 Issue 13, p7575-7593, 19p

Subject Terms: MOVING average process, PARAMETER estimation, ALGORITHMS, ADAPTIVE fuzzy control, NONLINEAR systems