Search Results - "recursive least squares parameter estimation algorithms"

The Filtering Based Maximum Likelihood Recursive Least Squares Parameter Estimation Algorithms for a Class of Nonlinear Stochastic Systems with Colored Noise by Wang, Longjin, An, Shun, He, Yan, Yuan, Jianping

“…This paper focuses on the maximum likelihood estimation for bilinear systems in the presence of colored noise. The state variables in the model is eliminated…”
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Recursive Least Squares Parameter Estimation Algorithms for a Class of Nonlinear Stochastic Systems With Colored Noise Based on the Auxiliary Model and Data Filtering by Wang, Longjin, He, Yan

“…This paper considers the parameter identification for a class of nonlinear stochastic systems with colored noise. We filter the input-output data by using an…”
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Two recursive least squares parameter estimation algorithms for multirate multiple-input systems by using the auxiliary model by Han, Lili, Wu, Fangxiang, Sheng, Jie, Ding, Feng

“…This paper considers identification problems of multirate multiple-input output error systems, derives the input-output representations by using the state…”
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Bias compensation recursive algorithm for dual-rate rational models by Chen, Jing, Liu, Yanjun, Zhu, Quanmin

“…In dual-rate rational systems, some output data are missing (unmeasurable) to make the traditional recursive least squares (RLS) parameter estimation…”
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A recursive least squares parameter estimation algorithm for output nonlinear autoregressive systems using the input–output data filtering by Ding, Feng, Wang, Yanjiao, Dai, Jiyang, Li, Qishen, Chen, Qijia

“…Nonlinear systems exist widely in industrial processes. This paper studies the parameter estimation methods of establishing the mathematical models for a class…”
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Decomposition-based recursive least-squares parameter estimation algorithm for Wiener-Hammerstein systems with dead-zone nonlinearity by Li, Linwei, Ren, Xuemei

“…In this paper, a decomposition-based recursive least-squares algorithm is proposed for the parameter estimation of Wiener-Hammerstein systems with dead-zone…”
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Efficient recursive least squares parameter estimation algorithm for accurate nanoCMOS variable gain amplifier performances by Daoud, Houda, Lahiani, Sawssen, Salem, Samir Ben, Loulou, Mourad

“…With the aggressive scaling of integrated circuit technology, parametric estimation is a critical task for designers who looked for solutions to the challenges…”
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Two-stage recursive least squares parameter estimation algorithm for output error models by Duan, Honghong, Jia, Jie, Ding, Ruifeng

“…This paper presents a two-stage recursive least squares algorithm for output error models. The basic idea is to combine the auxiliary model identification idea…”
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An auxiliary model based on a recursive least-squares parameter estimation algorithm for non-uniformly sampled multirate systems by Liu, Yanjun, Xie, Li, Ding, Feng

“…Abstract The lifted state-space models for a class of multirate systems non-uniformly sampled from their continuous-time systems are derived, and the…”
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Two-stage Recursive Least Squares Parameter Estimation Algorithm for Multivariate Output-error Autoregressive Moving Average Systems by Guo, Yunze, Wan, Lijuan, Xu, Ling, Ding, Feng, Alsaedi, Ahmed, Hayat, Tasawar

“…This paper focuses on the parameter estimation problem of multivariate output-error autoregressive moving average (M-OEARMA) systems. By applying the auxiliary…”
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Recursive least squares parameter estimation algorithm for dual-rate sampled-data nonlinear systems by Li, Xiangli, Zhou, Lincheng, Sheng, Jie, Ding, Ruifeng

“…This paper focuses on the identification problem of Hammerstein systems with dual-rate sampling. Using the key-term separation principle, we derive a…”
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Filtering based multi-stage recursive least squares parameter estimation algorithm for input nonlinear output-error autoregressive systems by Ma, Junxia, Chen, Jing, Ding, Feng

“…A filtering based multi-stage recursive estimation method is presented in this article. The system to be identified is called Hammerstein model, in which the…”
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Recursive least squares parameter identification algorithms for systems with colored noise using the filtering technique and the auxilary model by Ding, Feng, Wang, Yanjiao, Ding, Jie

“…). Two recursive least squares parameter estimation algorithms are proposed by using the data filtering technique and the auxiliary model identification idea…”
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Novel data filtering based parameter identification for multiple-input multiple-output systems using the auxiliary model by Wang, Yanjiao, Ding, Feng

“… For such a MIMO system whose outputs are contaminated by an ARMA noise process (i.e., correlated noise), an auxiliary model based recursive least squares parameter estimation algorithm is presented through filtering input…”
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Research on Efficiency of Permanent-Magnet Synchronous Motor Based on Adaptive Algorithm of Fuzzy Control by Sun, Wangsheng, Si, Haiqing, Qiu, Jingxuan, Li, Jiayi

“…In today’s world, energy is undoubtedly one of the most significant problems. As the global electricity consumption continues to increase, electric motors,…”
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Maximum likelihood based recursive parameter estimation for controlled autoregressive ARMA systems using the data filtering technique by Chen, Feiyan, Ding, Feng, Sheng, Jie

“…Using the maximum likelihood principle, a filtering based maximum likelihood recursive least squares parameter estimation algorithm is derived for controlled autoregressive ARMA systems…”
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Three-stage recursive least squares parameter estimation for controlled autoregressive autoregressive systems by Wang, Shijun, Ding, Rui

“…A three-stage recursive least squares parameter estimation algorithm is derived for controlled autoregressive autoregressive (CARAR) systems…”
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A filtering based recursive least squares estimation algorithm for pseudo-linear auto-regressive systems by Ding, Sheng, Ding, Rui, Yang, Erfu

“…This paper uses the filtering technique, transforms a pseudo-linear auto-regressive system into an identification model and presents a new recursive least squares parameter estimation algorithm pseudo…”
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Detection and isolation of routing attacks through sensor watermarking by Ferrari, Riccardo M.G., Teixeira, Andre M.H.

“…In networked control systems, leveraging the peculiarities of the cyber-physical domains and their interactions may lead to novel detection and defense…”
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Recursive parameter estimation of a mechanical system in frequency domain by Nevaranta, Niko, Montonen, Jan-Henri, Lindh, Tuomo, Niemela, Markku, Pyrhoonen, Olli

“… In this paper, the feasibility of a recursive least squares parameter estimation algorithm from frequency-domain observations is studied…”
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