Search Results - multiinnovation stochastic gradient algorithm

Decomposition‐based multiinnovation gradient identification algorithms for a special bilinear system based on its input‐output representation by 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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Parameter estimation algorithms for dynamical response signals based on the multi-innovation theory and the hierarchical principle by Xu, Ling, Ding, Feng

“…, a multi-innovation stochastic gradient algorithm is proposed through expanding the scalar innovation…”
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Multi-innovation gradient estimation algorithms for multivariate equation-error autoregressive moving average systems based on the filtering technique by Ma, Ping, Ding, Feng, Hayat, Tasawar

“… A multi-innovation stochastic gradient algorithm is derived by introducing the innovation length in the stochastic gradient algorithm…”
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Data filtering-based recursive identification for an exponential autoregressive moving average model by using the multi-innovation theory by 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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Maximum likelihood‐based gradient estimation for multivariable nonlinear systems using the multiinnovation identification theory by 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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Combined state and multi-innovation parameter estimation for an input non-linear state-space system using the key term separation by Wang, Xuehai, Ding, Feng, Hayat, Tasawar, Alsaedi, Ahmed

“… Using the filtering technique, a filtering based multi-innovation generalised stochastic gradient (SG…”
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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 by 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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Auxiliary model multiinnovation stochastic gradient parameter estimation methods for nonlinear sandwich systems by Xu, Ling, Ding, Feng, Yang, Erfu

“… on‐line information of the nonlinear sandwich system. On this basis, an auxiliary model stochastic…”
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Parameter identification algorithm for ship manoeuvrability and wave peak model based multi-innovation stochastic gradient algorithm use data filtering technique by Liu, Yang, An, Shun, Wang, Longjin, He, Yan, Fan, Zhimin

“…) for the ship-wave system. Furthermore, we develop a filtering-based stochastic gradient algorithm for the system by applying filtering techniques and auxiliary model identification idea…”
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Correlation Analysis-based Stochastic Gradient and Least Squares Identification Methods for Errors-in-variables Systems Using the Multiinnovation by 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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Multiinnovation Least-Squares Identification for System Modeling by 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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Hierarchical multi-innovation generalised extended stochastic gradient methods for multivariable equation-error autoregressive moving average systems by 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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Recursive search-based identification algorithms for the exponential autoregressive time series model with coloured noise by Xu, Huan, Ding, Feng, Yang, Erfu

“… (the ExpARMA model for short). By means of the gradient search, an extended stochastic gradient (ESG…”
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Multi-innovation stochastic gradient method for harmonic modelling of power signals by 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 by 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 by 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 by 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 by 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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Auxiliary model identification methods.Part A: Autoregressive output-error systems by Feng, Ding

“…This paper presents an auxiliary model (AM) based stochastic gradient (SG) algorithm,an AM multiinnovation SG algorithm and an AM recursive least squares…”
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Auxiliary model based identification methods.Part F: Performance Analysis by Feng, Ding

“…) based stochastic gradient ( SG ) algorithm, the AM recursive least squares (RLS) algorithm, the AM multiinnovation SG algorithm, the interval-varying AM SG algorithm…”
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