Journal Article10.1016/j.cam.2023.115297
Iterative parameter identification algorithms for transformed dynamic rational fraction input-output systems
Feng Ding,Qinyao Liu,Erfu Yang +2 more
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TL;DR: In this paper , the gradient-based iterative algorithm and Newton iterative method are used to estimate the parameters of rational fraction system models and to avoid a large amount of calculation and complex equations encountered in the process of solving partial derivatives.
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About: This article is published in Journal of Computational and Applied Mathematics. The article was published on 01 May 2023. The article focuses on the topics: Fraction (chemistry) & Iterative method.
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Citations
Recursive identification methods for general stochastic systems with colored noises by using the hierarchical identification principle and the filtering identification idea
Feng Ding,Ling-Yan Xu,Xiao Dan Zhang,Yihong Zhou,Xiaoli Luan +4 more
TL;DR: This article reviews and investigates recursive identification methods for stochastic systems with colored noise using the hierarchical identification principle and filtering identification idea, proposing six novel algorithms for linear and nonlinear systems.
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Filtered generalized iterative parameter identification for equation‐error autoregressive models based on the filtering identification idea
Feng Ding,Xin-Guang Shao,Ling-Yan Xu,Xiao Dan Zhang,Huan Xu,Yihong Zhou +5 more
TL;DR: This study proposes five filtered generalized iterative identification methods for equation-error autoregressive systems, extending to linear and nonlinear systems with colored noises, using batch data and iterative search based on the filtering identification idea.
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A novel coupled recursive multivariate nonlinear time-series modelling method by using interactive identification
Yihong Zhou,Feng Ding +1 more
TL;DR: A novel coupled recursive multivariate nonlinear time-series modelling method is proposed, using interactive identification and singular value decomposition, to achieve high accuracy under colored noise interference, with a three-stage coupled average extended recursive algorithm.
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Joint iterative state and parameter estimation for bilinear systems with autoregressive noises via the data filtering.
Siyu Liu,Yanjiao Wang,Feng Ding,Ahmed Alsaedi,Tasawar Hayat +4 more
TL;DR: A novel iterative algorithm for the joint state and parameter estimation of bilinear state-space systems disturbed by colored noise is proposed and a data filtering-based KF-MIGI algorithm that uses an adaptive filter to filter input-output data is introduced.
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Control Algorithms of Magnetic Suspension Systems Based on the Improved Double Exponential Reaching Law of Sliding Mode Control
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