Suchergebnisse - multiinnovation gradient estimation algorithms

Multi-innovation gradient estimation algorithms for multivariate equation-error autoregressive moving average systems based on the filtering technique von Ma, Ping, Ding, Feng, Hayat, Tasawar

“… estimation accuracy is higher than the multi-innovation stochastic gradient algorithm. The simulation results confirm that these two algorithms are effective …”
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Decomposition‐based multiinnovation gradient identification algorithms for a special bilinear system based on its input‐output representation von Wang, Longjin, Ji, Yan, Yang, Hualin, Xu, Ling

“… Based on the input‐output representation of the bilinear system, a multiinnovation generalized extended stochastic gradient (MI‐GESG …”
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Maximum likelihood‐based gradient estimation for multivariable nonlinear systems using the multiinnovation identification theory von Xia, Huafeng, Ji, Yan, Xu, Ling, Alsaedi, Ahmed, Hayat, Tasawar

“… ‐based maximum likelihood recursive extended stochastic gradient algorithm with reduced computational complexity is presented to estimate all the parameters directly …”
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Iterative parameter and order identification for fractional‐order nonlinear finite impulse response systems using the key term separation von Wang, Junwei, Ji, Yan, Zhang, Chen

“… Meanwhile, to achieve the higher estimation accuracy, we propose a key term separation auxiliary model multiinnovation gradient‐based iterative algorithm by utilizing the multiinnovation theory. Finally, the simulation results test the effectiveness of the proposed algorithms …”
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Auxiliary model multiinnovation stochastic gradient parameter estimation methods for nonlinear sandwich systems von Xu, Ling, Ding, Feng, Yang, Erfu

“… Summary This article studies the identification problem of the nonlinear sandwich systems. For the sandwich system, because there are inner variables which …”
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Multiinnovation Least-Squares Identification for System Modeling von Feng Ding, Liu, Peter X, Guangjun Liu

“… A multiinnovation least-squares (MILS) identification algorithm is presented for linear regression models with unknown parameter vectors by expanding the innovation length in the traditional recursive least-squares (RLS …”
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Parameter estimation algorithms for dynamical response signals based on the multi-innovation theory and the hierarchical principle von Xu, Ling, Ding, Feng

“… , a multi-innovation stochastic gradient algorithm is proposed through expanding the scalar innovation …”
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Correlation Analysis-based Stochastic Gradient and Least Squares Identification Methods for Errors-in-variables Systems Using the Multiinnovation von Fan, Shujun, Xu, Ling, Ding, Feng, Alsaedi, Ahmed, Hayat, Tasawar

“… A correlation analysis-based multi-innovation stochastic gradient algorithm and a correlation analysis-based multi-innovation least squares algorithm are proposed by means of the multi-innovation …”
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Parameter identification of a nonlinear radial basis function‐based state‐dependent autoregressive network with autoregressive noise via the filtering technique and the multiinnovation theory von Zhou, Yihong, Ma, Fengying, Ding, Feng, Xu, Ling, Alsaedi, Ahmed, Hayat, Tasawar

“… filtering technique is applied and a filtering based generalized stochastic gradient algorithm is derived for the RBF‐ARAR models …”
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Parameter estimation for block‐oriented nonlinear systems using the key term separation von Ji, Yan, Zhang, Chen, Kang, Zhen, Yu, Tao

“… ‐stage multiinnovation gradient‐based iterative (KT‐AM‐3S‐MIGI) algorithm. The analysis shows that compared with the KT‐AM …”
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Recursive search-based identification algorithms for the exponential autoregressive time series model with coloured noise von Xu, Huan, Ding, Feng, Yang, Erfu

“… ) algorithm for the ExpARMA model. Introducing a forgetting factor into the MI-ESG algorithm, the parameter estimation accuracy can be further improved …”
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Combined state and multi-innovation parameter estimation for an input non-linear state-space system using the key term separation von Wang, Xuehai, Ding, Feng, Hayat, Tasawar, Alsaedi, Ahmed

“… Compared with the multi-innovation generalised SG algorithm, the proposed algorithm has higher parameter estimation accuracy …”
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Hierarchical multi-innovation generalised extended stochastic gradient methods for multivariable equation-error autoregressive moving average systems von Xu, Ling, Ding, Feng, Lu, Xian, Wan, Lijuan, Sheng, Jie

“… After the model decomposition, a two-stage generalised extended stochastic gradient (GESG) algorithm is presented in accordance with these two separated submodels …”
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Data filtering-based recursive identification for an exponential autoregressive moving average model by using the multi-innovation theory von Xu, Huan, Ma, Fengying, Ding, Feng, Xu, Ling, Alsaedi, Ahmed, Hayat, Tasawar

“… stochastic gradient algorithm is derived. In order to improve the parameter estimation accuracy, the multi-innovation identification theory is used to develop a filtering …”
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Multi-innovation stochastic gradient method for harmonic modelling of power signals von Zhou, Lincheng, Li, Xiangli, Xu, Huigang, Zhu, Peiyi

“… The proposed MI-SG algorithm repeatedly uses past innovations by expanding the scalar innovation to the innovation vector and can obtain more accurate parameter estimates than the stochastic gradient algorithm …”
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Two-stage parameter estimation algorithms for Box–Jenkins systems von Ding, Feng, Duan, Honghong

“… A two-stage recursive least-squares identification method and a two-stage multi-innovation stochastic gradient method are derived for Box–Jenkins (BJ) systems …”
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Identification method of neuro-fuzzy-based Hammerstein model with coloured noise von Li, Feng, Li, Jia, Peng, Daogang

“… the parameters of the linear part. Furthermore, by combining multi-innovation and gradient search theory, multi-innovation-based extended stochastic gradient approach is derived for improving the parameters estimation accuracy …”
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Maximum Likelihood Multi-innovation Stochastic Gradient Estimation for Multivariate Equation-error Systems von Liu, Lijuan, Ding, Feng, Wang, Cheng, Alsaedi, Ahmed, Hayat, Tasawar

“… A multi-innovation generalized extended stochastic gradient algorithm is presented as a comparison …”
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Maximum likelihood extended gradient‐based estimation algorithms for the input nonlinear controlled autoregressive moving average system with variable‐gain nonlinearity von Liu, Ximei, Fan, Yamin

“… ‐in‐parameter form and derive the identification model of the system. Based on the obtained identification model, a maximum likelihood extended stochastic gradient algorithm is presented to estimate the unknown parameters …”
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