Výsledky vyhľadávania - 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

Autori: Longjin Wang Shun An Yan He a ďalší

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

Predmety: 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

Autori: Longjin Wang Yan He

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

Predmety: 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

Prístupová URL adresa: 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/

Recursive parameter estimation algorithms

Autori: Coelho, João Paulo Cunha, José Boaventura Oliveira, Paulo de Moura a ďalší

Prispievatelia: Coelho, João Paulo Cunha, José Boaventura Oliveira, Paulo de Moura a ďalší

Predmety: Adaptive control, Model based control, Parameter estimation, Recursive algorithms, Recursive least squares

Popis súboru: application/pdf

Dostupnosť: http://hdl.handle.net/10198/2750

Recursive least squares estimation with rank two updates.

Autori: Stotsky, Alexander¹ (AUTHOR) alexander.stotsky@chalmers.se

Zdroj: Automatika: Journal for Control, Measurement, Electronics, Computing & Communications. Dec2025, Vol. 66 Issue 4, p619-624. 6p.

Predmety: Estimation theory, Parameter estimation, Adaptive filters

Hierarchical recursive least squares parameter estimation methods for multiple‐input multiple‐output systems by using the auxiliary models: Hierarchical recursive least squares parameter estimation methods for multiple-input multiple-output systems by using the auxiliary models

Autori: Haoming Xing Feng Ding Feng Pan a ďalší

Zdroj: International Journal of Adaptive Control and Signal Processing. 37:2983-3007

Predmety: 0209 industrial biotechnology, Estimation and detection in stochastic control theory, Electrical engineering. Electronics Nuclear engineering, Identification in stochastic control theory, Multivariable systems, multidimensional control systems, 02 engineering and technology, Filtering in stochastic control theory, calculation amount, least squares, hierarchical identification, 0202 electrical engineering, electronic engineering, information engineering, multivariable system, Nonlinear systems in control theory, parameter estimation

Popis súboru: application/xml; text

Enhanced Lithium‐Ion Battery Parameter Estimation and SOC Prediction via Variable Forgetting Factor Bi‐Loop Recursive Least Squares

Autori: Wei Xia Jinli Xu Baolei Liu a ďalší

Zdroj: Energy Science & Engineering, Vol 13, Iss 10, Pp 4933-4943 (2025)

Predmety: ECM, lithium‐ion battery, recursive least squares (RLS), variable forgetting factor (VFF), VFFBRLS algorithm, Technology, Science

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2050-0505

Prístupová URL adresa: https://doaj.org/article/2539b21c11b14588ba9093244ac5e1d0

M-Decomposed Least Squares and Recursive Least Squares Identification Algorithms for Large-Scale Systems

Autori: Yuejiang Ji Lixin Lv

Zdroj: IEEE Access, Vol 9, Pp 139466-139472 (2021)

Predmety: Parameter estimation, M-decomposed least squares, large-scale system, computational effort, sub-parameter-vector, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis súboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/9540846/; https://doaj.org/toc/2169-3536

Prístupová URL adresa: https://doaj.org/article/38ebee598b494c33ac0a929c65952fba

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

Autori: Yun-Ti Meng Xiao-Yu Zhao

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

Predmety: High speed trains, Dynamic models, Parameter estimation, Least squares

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

Autori: Fang-Xiang Wu Jie Sheng Lili Han a ďalší

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

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

Prístupová URL adresa: 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

Real time tire stiffness estimation using enhanced GDM and RLS for autonomous vehicles

Autori: Zhenyu Qin Jiaqi Wang Panxue Liu a ďalší

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-22 (2025)

Predmety: Tire lateral stiffness estimation, Online parameter estimation, Gradient descent method, Recursive least squares, Vehicle adaptive control, Medicine, Science

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Prístupová URL adresa: https://doaj.org/article/b4eec4ada7be4f3c84132f987948c0f8

Data Filtering Based Recursive and Iterative Least Squares Algorithms for Parameter Estimation of Multi-Input Output Systems

Autori: Jiling Ding

Zdroj: Algorithms, Vol 9, Iss 3, p 49 (2016)

Predmety: multivariable system, filtering technique, iterative identification, recursive least squares, Industrial engineering. Management engineering, T55.4-60.8, Electronic computers. Computer science, QA75.5-76.95

Popis súboru: electronic resource

Relation: http://www.mdpi.com/1999-4893/9/3/49; https://doaj.org/toc/1999-4893

Prístupová URL adresa: https://doaj.org/article/da81c034d20c4abf9ae2a9c8beca4042

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

Autori: Wang, Longjin An, Shun He, Yan a ďalší

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

A New Exponential Forgetting Algorithm for Recursive Least-Squares Parameter Estimation

Autori: Shin, Hyo-Sang Lee, Hae-In

Témy: Electrical Engineering and Systems Science - Systems and Control, text

URL: http://arxiv.org/abs/2004.03910

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

Autori: Jie Ding Feng Ding Yanjiao Wang

Zdroj: Digital Signal Processing. 37:100-108

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

Prístupová URL adresa: https://dl.acm.org/doi/abs/10.1016/j.dsp.2014.10.005
https://doi.org/10.1016/j.dsp.2014.10.005
https://dblp.uni-trier.de/db/journals/dsp/dsp37.html#DingWD15
https://www.sciencedirect.com/science/article/pii/S1051200414003145

Efficient recursive least squares parameter estimation algorithm for accurate nanoCMOS variable gain amplifier performances.

Autori: Daoud, Houda Lahiani, Sawssen Salem, Samir Ben a ďalší

Zdroj: International Journal of Electronics. Apr2020, Vol. 107 Issue 4, p659-682. 24p.

Predmety: *PARAMETER estimation, *CIRCUIT elements, *INTEGRATED circuits, *ALGORITHMS, *FORECASTING

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

Autori: Li, Qiangya Liu, Tao Na, Jing a ďalší

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

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

Hierarchical recursive least squares parameter estimation methods for multiple‐input multiple‐output systems by using the auxiliary models.

Autori: Xing, Haoming Ding, Feng Pan, Feng a ďalší

Zdroj: International Journal of Adaptive Control & Signal Processing; Nov2023, Vol. 37 Issue 11, p2983-3007, 25p

Predmety: PARAMETER estimation, MIMO systems

Robust recursive impedance estimation for automotive lithium-ion batteries

Autori: Fridholm, Björn Wik, Torsten Nilsson, Magnus

Zdroj: Journal of Power Sources. 304:33-41

Predmety: Adaptive estimation, Battery impedance estimation, Kalman filter, Lithium-ion battery, Recursive parameter estimation, Robustness, Algorithms, Battery management systems, Electric batteries, Estimation, Ions, Kalman filters, Lithium, Lithium alloys, Lithium compounds, Ohmic contacts, Robustness (control systems), System-on-chip, Adaptive kalman filter, Battery impedance, Electrical impedance, Impedance estimation, Recursive algorithms, Recursive least square (RLS), Lithium-ion batteries

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-32618

Variable forgetting factor mechanisms for diffusion recursive least squares algorithm in sensor networks

Autori: Ling Zhang Yunlong Cai Chunguang Li a ďalší

Zdroj: EURASIP Journal on Advances in Signal Processing, Vol 2017, Iss 1, Pp 1-23 (2017)

Predmety: Sensor networks, Distributed parameter estimation, Distributed spectrum estimation, Diffusion recursive least-squares, Variable forgetting factor, Telecommunication, TK5101-6720, Electronics, TK7800-8360

Popis súboru: electronic resource

Relation: http://link.springer.com/article/10.1186/s13634-017-0490-z; https://doaj.org/toc/1687-6180

Prístupová URL adresa: https://doaj.org/article/26299bf6706b421b873fecb2e688d7f0

Partially-Coupled Recursive Least Squares Algorithm for Multivariate Systems Based on the Model Transformation

Autori: Qinyao Liu Feng Ding Ahmed Alsaedi a ďalší

Zdroj: IEEE Access, Vol 7, Pp 123086-123097 (2019)

Predmety: Model transformation, decomposition technique, coupling identification, parameter estimation, multivariable system, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis súboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/8819985/; https://doaj.org/toc/2169-3536

Prístupová URL adresa: https://doaj.org/article/e8958e64ed8d4a39a67faa0a3ed2d611