Search Results - over‐parameterization based recursive least squares method

Maximum Likelihood Recursive Generalized Extended Least Squares Estimation Methods for a Bilinear-parameter Systems with ARMA Noise Based on the Over-parameterization Model by Liu, Haibo, Wang, Junwei, Ji, Yan

“… An over-parameterization-based recursive generalized extended least squares algorithm is presented to show the effectiveness of the proposed ML-RLS algorithm for comparison…”
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Highly computationally efficient parameter estimation algorithms for a class of nonlinear multivariable systems by utilizing the state estimates by Cui, Ting, Ding, Feng

“… an over-parameterization-based partially coupled average recursive extended least-squares parameter estimation algorithm to estimate the parameters…”
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Recursive Least Squares Parameter Estimation for a Class of Output Nonlinear Systems Based on the Model Decomposition by Ding, Feng, Wang, Xuehai, Chen, Qijia, Xiao, Yongsong

“…In this paper, we study the parameter estimation problem of a class of output nonlinear systems and propose a recursive least squares (RLS…”
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Recursive least squares identification methods for output nonlinear equation-error type systems by Ding, Feng, Chen, Qijian

“… of the involved matrices in the over-parameterization model based least squares methods greatly increase…”
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Recursive Extended Least Squares Parameter Estimation for Wiener Nonlinear Systems with Moving Average Noises by Hu, Yuanbiao, Liu, Baolin, Zhou, Qin, Yang, Chun

“… This paper derives two recursive extended least squares parameter estimation algorithms for Wiener nonlinear systems with moving average noises based on over-parameterization models…”
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Decomposition based recursive least squares parameter estimation for input nonlinear equation-error systems by Chen Huibo, Fan Jiangbo

“…This paper developed a decomposition based recursive least square algorithm for estimating the parameters of an input nonlinear equation-error system, where the nonlinear system was parameterized…”
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Decomposition-based least squares parameter estimation algorithm for input nonlinear systems using the key term separation technique by Chen, Huibo, Ding, Feng, Xiao, Yongsong

“…A decomposition-based recursive least squares algorithm is developed for estimating the parameters of the input nonlinear systems composed of a dynamic controlled autoregressive block following…”
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Least Squares Identification for Hammerstein Multi-input Multi-output Systems Based on the Key-Term Separation Technique by Shen, Qianyan, Ding, Feng

“… of the system and present a hierarchical generalized least squares (LS) algorithm for estimating the parameters of the system…”
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Convergence Analysis of the Hierarchical Least Squares Algorithm for Bilinear-in-Parameter Systems by Wang, Xuehai, Ding, Feng, Alsaadi, Fuad E., Hayat, Tasawar

“… The proposed algorithm has higher computational efficiency than the over-parameterization model-based recursive least squares algorithm…”
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On-line identification of non-linear hysteretic structural systems using a variable trace approach by Lin, Jeng-Wen, Betti, Raimondo, Smyth, Andrew W., Longman, Richard W.

“…‐linear hysteretic structures. At each time step, this recursive least‐square‐based algorithm upgrades the diagonal elements of the adaptation gain matrix by comparing the values of estimated parameters between two consecutive time steps…”
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GWO-FRLS SOC estimation method based on over-parameterized Hammerstein battery model by Sun, Xiaoying, Fan, Qiuhua

“… Then, the recursive least squares algorithm based on over-parameterization and with forgetting factor (OP-FRLS…”
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A decomposition based recursive least squares identification algorithm for input nonlinear systems by Chen, Huibo, Xiao, Yongsong

“…A decomposition based recursive least squares algorithm is derived for the identification of input nonlinear systems using the key term separation technique and the hierarchical identification principle…”
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Least squares algorithm for an input nonlinear system with a dynamic subspace state space model by Wang, Dongqing, Ding, Feng, Ximei, Liu

“… to the state space model and presents a recursive and an iterative least squares algorithms to generate parameter estimates and state estimates by using the hierarchical identification principle…”
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Multi-innovation identification methods for input nonlinear equation-error autoregressive systems by Ding, Feng, Mao, Yawen

“…) systems as an example, this paper studies and presents stochastic gradient (SG) identification methods, multi-innovation SG methods, recursive least squares (LS…”
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On-line identification and damage detection in non-linear structural systems using a variable forgetting factor approach by Lin, Jeng-Wen, Betti, Raimondo

“… At each time step, the proposed methodology, a recursive least‐square (Kalman filter) based algorithm, upgrades the adaptation gain matrix using an adaptive forgetting…”
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Auxiliary model identification methods.Part B: Input nonlinear output-error systems by Ding, Feng, Chen, Huibo

“… gradient identification methods and the bilinear-in-parameter model decomposition based AM recursive least squares identification…”
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辅助模型辨识方法（2）：输入非线性输出误差系统 by 丁锋, 陈慧波

“…TP273; 针对具有已知基的输入非线性输出误差系统，提出了基于过参数化模型的辅助模型递推辨识方法和辅助模型递阶辨识方法，提出了基于关键项分离的辅助模型递推辨识方法、…”
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输出非线性方程误差类系统递推最小二乘辨识方法 by 丁锋, 陈启佳

“…TP273; 随着控制技术的发展，控制对象的规模越来越大，使得辨识算法的计算量也越来越大。对于结构复杂的非线性系统，特别是包含未知参数乘积的非线性系统，使得过参数化辨…”
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辅助模型辨识方法（3）：输入非线性输出误差自回归系统 by 丁锋, 毛亚文

“…TP273; 输入非线性系统包括输入非线性方程误差类系统和输入非线性输出误差类系统。针对输入非线性输出误差自回归系统，分别基于过参数化模型，基于关键项分离原理，基于数…”
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A novel learning algorithm of the neuro-fuzzy based Hammerstein–Wiener model corrupted by process noise by Li, Feng, Yao, Keming, Li, Bo, Jia, Li

“… For parameter learning of the Hammerstein–Wiener model, the synchronous parameter learning methods are proposed to learn the model parameters by constructing hybrid model of the three series block, such as over parameterization…”
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