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Virtual coupling in railways: A comprehensive review
J Felez, MA Vaquero-Serrano - Machines, 2023 - mdpi.com
The current mobility situation is constantly changing as people are increasingly moving to
urban areas. Therefore, a flexible mode of transport with high-capacity passenger trains and …
urban areas. Therefore, a flexible mode of transport with high-capacity passenger trains and …
Least squares parameter estimation and multi-innovation least squares methods for linear fitting problems from noisy data
F Ding - Journal of Computational and Applied Mathematics, 2023 - Elsevier
Least squares is an important method for solving linear fitting problems and quadratic
optimization problems. This paper explores the properties of the least squares methods and …
optimization problems. This paper explores the properties of the least squares methods and …
Separable synthesis gradient estimation methods and convergence analysis for multivariable systems
L Xu, F Ding - Journal of Computational and Applied Mathematics, 2023 - Elsevier
This paper studies the parameter identification problem for a large-scale multivariable
systems. In terms of the identification obstacle causing by huge amounts of parameters of …
systems. In terms of the identification obstacle causing by huge amounts of parameters of …
Hierarchical gradient‐and least‐squares‐based iterative estimation algorithms for input‐nonlinear output‐error systems from measurement information by using the …
F Ding, L Xu, X Zhang, H Ma - International Journal of Robust …, 2024 - Wiley Online Library
This article investigates the parameter identification problems of the stochastic systems
described by the input‐nonlinear output‐error (IN‐OE) model. This IN‐OE model consists of …
described by the input‐nonlinear output‐error (IN‐OE) model. This IN‐OE model consists of …
Gradient-based parameter estimation for a nonlinear exponential autoregressive time-series model by using the multi-innovation
J Pan, Y Liu, J Shu - International Journal of Control, Automation and …, 2023 - Springer
The parameter estimation methods for the nonlinear exponential autoregressive model are
investigated in this paper. We develop a forgetting factor gradient parameter estimation …
investigated in this paper. We develop a forgetting factor gradient parameter estimation …
Highly-efficient filtered hierarchical identification algorithms for multiple-input multiple-output systems with colored noises
H **ng, F Ding, X Zhang, X Luan, E Yang - Systems & Control Letters, 2024 - Elsevier
Multiple-input multiple-output (MIMO) systems have extensive applications in industrial
processes and systems engineering. This letter applies the filtering identification idea to …
processes and systems engineering. This letter applies the filtering identification idea to …
Decomposition and composition modeling algorithms for control systems with colored noises
L Xu, F Ding - International Journal of Adaptive Control and …, 2024 - Wiley Online Library
This article proposes a novel identification framework for estimating the parameters of the
controlled autoregressive autoregressive moving average (CARARMA) models with colored …
controlled autoregressive autoregressive moving average (CARARMA) models with colored …
Joint two‐stage multi‐innovation recursive least squares parameter and fractional‐order estimation algorithm for the fractional‐order input nonlinear output‐error …
C Hu, Y Ji, C Ma - International Journal of Adaptive Control and …, 2023 - Wiley Online Library
This paper mainly investigates the issue of parameter identification for the fractional‐order
input nonlinear output error autoregressive (IN‐OEAR) model. In order to avoid the problem …
input nonlinear output error autoregressive (IN‐OEAR) model. In order to avoid the problem …
Hierarchical recursive least squares estimation algorithm for secondorder Volterra nonlinear systems
J Pan, S Liu, J Shu, X Wan - … Journal of Control, Automation and Systems, 2022 - Springer
This paper considers the parameter identification problems of a Volterra nonlinear system. In
order to overcome the excessive calculation amount of the Volterra systems, a hierarchical …
order to overcome the excessive calculation amount of the Volterra systems, a hierarchical …
Filtered generalized iterative parameter identification for equation‐error autoregressive models based on the filtering identification idea
F Ding, X Shao, L Xu, X Zhang, H Xu… - International Journal of …, 2024 - Wiley Online Library
By using the collected batch data and the iterative search, and based on the filtering
identification idea, this article investigates and proposes a filtered multi‐innovation …
identification idea, this article investigates and proposes a filtered multi‐innovation …