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

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

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

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

Recursive identification for multi-input–multi-output Hammerstein–Wiener system.

Authors: Bai, Jing Mao, Zhizhong Pu, Tiecheng

Source: International Journal of Control; Jun2019, Vol. 92 Issue 6, p1457-1469, 13p

Subject Terms: IDENTIFICATION, MATRIX multiplications, LEAST squares, WHITE noise

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

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

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

Authors: Wang, Cheng Tang, Tao

Source: Applied Mathematics Letters. Mar2014, Vol. 29, p36-41. 6p.

Subject Terms: *LEAST squares, *ESTIMATION theory, *ALGORITHMS, *LINEAR statistical models, *PARAMETER estimation, *ERROR analysis in mathematics

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

Authors: Ding, Feng Liu, Ximei Liu, Manman

Source: Journal of the Franklin Institute. May2016, Vol. 353 Issue 7, p1518-1526. 9p.

Subject Terms: *RECURSIVE functions, *LEAST squares, *ALGORITHMS, *NONLINEAR systems, *WIENER systems (Mathematical optimization), *AUTOMATION

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

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

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

Identification of non-uniformly sampled Wiener systems with dead-zone non-linearities.

Authors: Liu, Ranran Pan, Tianhong Chen, Shan et al.

Source: Mathematical & Computer Modelling of Dynamical Systems. Nov2017, Vol. 23 Issue 6, p595-612. 18p.

Subject Terms: *WIENER systems (Mathematical optimization), *NONLINEAR analysis, *LEAST squares, *COMPUTER simulation, *ALGORITHMS

Robust Least Squares Approach to Passive Target Localization Using Ultrasonic Receiver Array.

Authors: Choi, Ka Hyung Ra, Won-Sang Park, So-Young et al.

Source: IEEE Transactions on Industrial Electronics. Apr2014, Vol. 61 Issue 4, p1993-2002. 10p.

Subject Terms: *ALGORITHM research, *MOBILE robots, *ESTIMATION theory, *STOCHASTIC processes, *ROBOTICS research

Auxiliary model‐based multi‐innovation recursive identification algorithms for an input nonlinear controlled autoregressive moving average system with variable‐gain nonlinearity.

Authors: Fan, Yamin Liu, Ximei

Source: International Journal of Adaptive Control & Signal Processing. Mar2022, Vol. 36 Issue 3, p521-540. 20p.

Subject Terms: *MOVING average process, *PARAMETER estimation, *NONLINEAR oscillators, *ALGORITHMS, *NONLINEAR equations, *NONLINEAR systems

Multi-innovation recursive identification methods for nonlinear sandwich systems using the auxiliary model.

Authors: Liu, Qinyao Dong, Qi Jiang, Haolong et al.

Source: Applied Mathematical Modelling. Feb2026:Part B, Vol. 150, pN.PAG-N.PAG. 1p.

Subject Terms: *SYSTEM identification, *LEAST squares, *FEEDBACK control systems, *COMPUTER simulation, *STATISTICAL models, *SANDWICH construction (Materials)

A recursive identification algorithm for discrete time-delay periodic linear systems.

Authors: Lv, Lingling Zhao, Jiali Zheng, Bingqian et al.

Source: Journal of Computational & Applied Mathematics. Jun2025, Vol. 461, pN.PAG-N.PAG. 1p.

Subject Terms: *PARAMETER estimation, *LEAST squares, *ALGORITHMS