Výsledky vyhledávání - "Extended stochastic gradient algorithm"

A filtering based multi-innovation extended stochastic gradient algorithm for multivariable control systems Autor Pan, Jian, Jiang, Xiao, Wan, Xiangkui, Ding, Wenfang

“…For a multivariable system with moving average noise (i.e., a multivariable controlled autoregressive moving average system), this paper proposes a filtering…”
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A multi-innovation generalized extended stochastic gradient algorithm for output nonlinear autoregressive moving average systems Autor Hu, Yuanbiao, Liu, Baolin, Zhou, Qin

“…This paper proposes a generalized extended stochastic gradient (GESG) algorithm for estimating the parameters of a class of Wiener nonlinear autoregressive…”
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State-of-charge estimation with adaptive extended Kalman filter and extended stochastic gradient algorithm for lithium-ion batteries Autor Ye, Yuanmao, Li, Zhenpeng, Lin, Jingxiong, Wang, Xiaolin

“…•New closed-loop algorithm combining parameter identification and State estimation.•Computing cost is reduced by omitting the step of parameters…”
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Convergence of the auxiliary model-based multi-innovation generalized extended stochastic gradient algorithm for Box–Jenkins systems Autor Wang, Xuehai, Ding, Feng

“…This paper focuses on the parameter estimation problem of Box–Jenkins systems. Using the multi-innovation identification theory, an auxiliary model-based multi-innovation generalized extended stochastic gradient algorithm is derived…”
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Multi-innovation Extended Stochastic Gradient Algorithm and Its Performance Analysis Autor Liu, Yanjun, Yu, Li, Ding, Feng

“…This paper derives the multi-innovation extended stochastic gradient algorithm for controlled autoregressive moving average models by expanding the scalar innovation to an innovation vector…”
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Filtering based multi-innovation extended stochastic gradient algorithm for Hammerstein nonlinear system modeling Autor Wang, Ziyun, Wang, Yan, Ji, Zhicheng

“… In order to provide highly accurate parameter estimates and improve the convergence rate, a data filtering based multi-innovation extended stochastic gradient algorithm is presented to estimate…”
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Partially coupled extended stochastic gradient algorithm for nonlinear multivariable output error moving average systems Autor Wang, Xuehai, Ding, Feng

“… Design/methodology/approach A partially coupled extended stochastic gradient algorithm is presented for nonlinear multivariable systems by using the decomposition technique…”
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A multi-innovation generalized extended stochastic gradient algorithm for output nonlinear autoregressive moving average systems Autor Hu, Yuanbiao, Liu, Baolin, Zhou, Qin

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Filtering based multi-innovation extended stochastic gradient algorithm for Hammerstein nonlinear system modeling Autor Wang, Ziyun, Wang, Yan, Ji, Zhicheng

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Weighted multi-innovation extended stochastic gradient identification for multivariable Hammerstein nonlinear systems based on multi-signal processing Autor Lyu, Bensheng, Wang, Qiang, Xu, Yanling, Zhang, Huajun, Cai, Chunbo

“… By combining the multi-innovation theory with the weight matrix, a weighted multi-innovation extended stochastic gradient algorithm with a forgetting factor is presented to estimate the parameters…”
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Hierarchical multi-innovation generalised extended stochastic gradient methods for multivariable equation-error autoregressive moving average systems Autor Xu, Ling, Ding, Feng, Lu, Xian, Wan, Lijuan, Sheng, Jie

“…) algorithm, namely, hierarchical multi-innovation generalised extended stochastic gradient algorithm, is derived for the multivariable EEARMA systems through expanding the innovation vector to the innovation…”
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Hierarchical gradient parameter estimation algorithms for fractional order Wiener OEARMA system Autor Li, Junhong, Zhang, Hongrui, Xiao, Kang, Gu, Juping

“…In this paper, the identification of fractional order Wiener output error auto-regressive moving average (OEARMA) systems is discussed. The dynamic part of the…”
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Parameter identification of fractional‐order Wiener system based on FF‐ESG and GI algorithms Autor Li, Junhong, Zhang, Hongrui, Gu, Juping, Hua, Liang

“…Fractional‐order calculus has broad application scenarios in engineering and physics. Unlike integer‐order calculus, fractional‐order calculus has the ability…”
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Partially coupled gradient estimation algorithm for multivariable equation-error autoregressive moving average systems using the data filtering technique Autor Liu, Qinyao, Ding, Feng, Xu, Ling, Yang, Erfu

“… into a filtered system with white noises. Then the filtered system is decomposed into several subsystems and a filtering-based partially-coupled generalised extended stochastic gradient algorithm is developed via the coupling concept…”
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Data filtering-based recursive identification for an exponential autoregressive moving average model by using the multi-innovation theory Autor Xu, Huan, Ma, Fengying, Ding, Feng, Xu, Ling, Alsaedi, Ahmed, Hayat, Tasawar

“…-based multi-innovation extended stochastic gradient algorithm for the ExpARMA model. A simulation example is given to demonstrate the superiority of the proposed…”
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Maximum likelihood gradient-based iterative estimation for multivariable systems Autor Xia, Huafeng, Yang, Yongqing, Ding, Feng, Xu, Ling, Hayat, Tasawar

“…This study concerns the parameter identification issues for a class of multivariable systems with moving average noise. The main contributions are to transform…”
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Recursive search-based identification algorithms for the exponential autoregressive time series model with coloured noise Autor Xu, Huan, Ding, Feng, Yang, Erfu

“…This study focuses on the recursive parameter estimation problems for the non-linear exponential autoregressive model with moving average noise (the ExpARMA…”
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Multi-innovation extended stochastic gradient algorithm for multi-input multi-output controlled autoregressive moving average systems by using the filtering technique Autor Jiang, Xiao, Pan, Jian, Wan, Xiangkui, Ding, Feng

“…In this paper, we extends the innovation vector to the innovation matrices and presents a filtering based multi-innovation extended stochastic gradient algorithm for multi-input multi-output…”
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Identification of Hammerstein-Wiener ARMAX systems using Extended Kalman Filter Autor Mansouri, M., Tolouei, H., Shoorehdeli, M. A.

“…In this study, Extended Kalman Filter (EKF) algorithm is developed to estimate the parameters of Hammerstein-Wiener (H-W) ARMAX models. The basic idea is to…”
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Two improved generalized extended stochastic gradient algorithms for CARARMA systems Autor Lv, Lingling, Zhang, Yulin, Huang, Quanzhen, Wu, Yu

“…The paper innovatively proposes two improved generalized extended stochastic gradient (GESG) algorithms for the controlled autoregressive autoregressive moving…”
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