Suchergebnisse - recursive least squares algorithm with auxiliary variable

Grey Box Modeling of Gas Temperature for a High-Speed and High-Temperature Heat-Airflow Test System von Xue, Yingfang, Cai, Chaozhi, Xu, Hui

“… combining first principle of modeling, recursive least squares identification with auxiliary variable and correlation analysis is proposed, and the precise mathematical model of gas temperature is established …”
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A recursive identification algorithm for discrete time-delay periodic linear systems von Lv, Lingling, Zhao, Jiali, Zheng, Bingqian, Shen, Jianwei, Yan, Huaicheng

“… Subsequently, we present an auxiliary model recursive least squares identification algorithm to identify the parameters of time-delay discrete linear periodic systems …”
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Auxiliary Variable-Based Identification Algorithms for Uncertain-Input Models von Chen, Jing, Zhu, Quanmin, Chandra, Budi, Pu, Yan

“… Furthermore, an auxiliary variable-based recursive least squares algorithm is proposed to reduce the computational efforts …”
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Recursive and Iterative Least Squares Parameter Estimation Algorithms for Multiple-Input–Output-Error Systems with Autoregressive Noise von Ding, Jiling

“… In order to solve the problem of the information vector containing unknown inner variables, an auxiliary model-based recursive generalized least squares algorithm and a least squares-based iterative …”
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The Auxiliary Model Based Hierarchical Estimation Algorithms for Bilinear Stochastic Systems with Colored Noises von Guo, Chunqiu, Wang, Longjin, Deng, Fang

“… Based on the obtained identification model, a recursive generalized extend least squares algorithm is proposed by using the auxiliary model identification idea …”
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Recursive identification for multi-input-multi-output Hammerstein-Wiener system von Bai, Jing, Mao, Zhizhong, Pu, Tiecheng

“… In this paper, an identification method based on the recursive auxiliary variable least squares algorithm is proposed for a multi-input-multi-output Hammerstein-Wiener system with process noise …”
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Auxiliary model‐based multi‐innovation recursive identification algorithms for an input nonlinear controlled autoregressive moving average system with variable‐gain nonlinearity von Fan, Yamin, Liu, Ximei

“… ‐based recursive extended least‐squares algorithm. For the sake of improving the parameter estimation accuracy, an auxiliary model‐based multi …”
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Recursive least squares estimation algorithm applied to a class of linear-in-parameters output error moving average systems von Wang, Cheng, Tang, Tao

“… By means of the auxiliary model identification idea, an auxiliary model based recursive least squares algorithm is developed for identifying the parameters of the proposed system …”
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Recursive least squares parameter estimation algorithm for dual-rate sampled-data nonlinear systems von Li, Xiangli, Zhou, Lincheng, Sheng, Jie, Ding, Ruifeng

“… To solve the identification problem of the dual-rate Hammerstein systems with the unmeasurable variables in the information vector, an auxiliary model-based recursive least squares algorithm …”
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The recursive least squares identification algorithm for a class of Wiener nonlinear systems von Ding, Feng, Liu, Ximei, Liu, Manman

“… A recursive least squares algorithm is presented based on the auxiliary model identification idea …”
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Least squares based iterative identification algorithms for input nonlinear controlled autoregressive systems based on the auxiliary model von Hu, Huiyi, Ding, Rui

“… and then develop an auxiliary model based recursive least squares algorithm, an auxiliary model based least squares iterative (AM-LSI …”
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An auxiliary model based multi-innovation recursive least squares estimation algorithms for MIMO Hammerstein system von Wang Xiuping, Chen Jing

“… An auxiliary model based multi-innovation recursive least squares estimation algorithms is proposed in this paper …”
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Multi-innovation identification algorithm based on auxiliary model for Hammerstein output error systems von Yue, Zenghui, Yang, Xiaodong

“… The information vectors include intermediate variables, which are unknown, thus cannot adopt recursive least-squares identification algorithm directly to identify the parameters of Hammerstein system …”
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Online identification for output-error models with random time delays based on auxiliary model and recursive expectation maximization algorithm von Li, Ronghuan, Ma, Junxia, Ma, Yujie, Xiong, Weili

“… This article considers the identification of output-error (OE) models with random time delays under the framework of a recursive expectation maximization (REM) algorithm …”
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A Method of Reducing Invalid Steering for AUVs Based on a Wave Peak Frequency Tracker von Yuan, Jianping, Li, Jin, Dong, Zhihui, Chen, Qinglong, Sun, Hanbing

“… Based on the obtained identification model, an auxiliary model-based recursive extended least-squares identification algorithm is developed to estimate the model parameters …”
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An auxiliary model based on a recursive least-squares parameter estimation algorithm for non-uniformly sampled multirate systems von Liu, Yanjun, Xie, Li, Ding, Feng

“… For unmeasurable information vectors arising in the identification models, this paper gives an auxiliary-model-based recursive least-squares (AM-RLS …”
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Multi-innovation recursive identification methods for nonlinear sandwich systems using the auxiliary model von Liu, Qinyao, Dong, Qi, Jiang, Haolong, Chen, Feiyan, Wang, Xuchen

“… In this paper, an auxiliary model-based multi-innovation least squares algorithm is used to solve the identification problem existing in the nonlinear sandwich system …”
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Hierarchical estimation method for fractional-order systems based on the auxiliary model von Zhang, Yufan, Zhang, Xiao, Ding, Feng

“… •We propose a novel auxiliary model-based hierarchical recursive least squares identification algorithm, which updates parameters online as new samples arrive …”
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Recursive Least-Squares Estimation for Hammerstein Nonlinear Systems with Nonuniform Sampling von Sheng, Jie, Ding, Rui, Zhou, Lincheng, Li, Xiangli

“… To estimate parameters of the presented model, an auxiliary model-based recursive least-squares algorithm is derived by replacing the unmeasurable variables in the information vector …”
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Recursive hierarchical parametric identification of Wiener-Hammerstein systems based on initial value optimization von Li, Qiangya, Liu, Tao, Na, Jing, Shang, Chao, Tan, Yonghong, Wang, Qing-Guo

“… In this paper, a novel recursive hierarchical parametric identification method based on initial value optimization is proposed for Wiener-Hammerstein systems subject to stochastic measurement noise …”
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