检索结果-内蒙古大学图书馆

International Conference on Sustainable Energy and Environmental Engineering (ICSEEE 2012)

作者： Vu, Minh Guang Han, Wei Wang, Dazhi Li, Yunlu Northeastern Univ Inst Elect Power Syst & Motor Drives Shenyang Peoples R China

ISBN: (纸本)9783037856345

The effects of compensating and restraining the power system harmonics using active power filter are determined by the detection precision and its dynamic response characters. To improve both of them, a harmonic current detection algorithm based on variable forgetting factor recursive least-squares algorithm is presented. The occurrence of the dynamic process is identified firstly by the judgment condition which is given by the algorithm, and then the forgetting factor is assigned dynamically, so that the convergent speed is significantly improved. The algorithm overcomes the impact of low-pass filter of traditional p-q or ip-iq algorithm, and releases the contradiction cased by the conflicting requirements of forgetting factor value between steady process and dynamic process. So it has better dynamic performance. Simulation and experiments prove the validity and feasibility of the approaches

关键词： recursive least-squares algorithm harmonic current detection variable forgetting factor active power filter

来源：评论

学校读者我要写书评

暂无评论

Robust least-squares Estimation with Harmonic Regressor: High Order algorithms

Robust Least-Squares Estimation with Harmonic Regressor: Hig...

引用

52nd IEEE Annual Conference on Decision and Control (CDC)

作者： Stotsky, Alexander Chalmers Univ Technol Signals & Syst SE-41296 Gothenburg Sweden

ISBN: (纸本)9781467357173

A new robust and computationally efficient solution to least-squares problem in the presence of round-off errors is proposed. The properties of a harmonic regressor are utilized for design of new combined algorithms of direct calculation of the parameter vector. In addition, an explicit transient bound for estimation error is derived for classical recursive least-squares (RLS) algorithm using Lyapunov function method. Different initialization techniques of the gain matrix are proposed as an extension of RLS algorithm. All the results are illustrated by simulations.

关键词： recursive least-squares algorithm Harmonic Regressor Strictly Diagonally Dominant Matrix High Order algorithms recursive Inversion

来源：评论

学校读者我要写书评

暂无评论

Performance Analysis of Kernel Adaptive Filters Based on RLS algorithm

Performance Analysis of Kernel Adaptive Filters Based on RLS...

引用

25th International Conference on Microelectronics (ICM)

作者： Constantin, Ibtissam Lengelle, Regis Lebanese Univ Fac Sci Fanar Lebanon Univ Technol Troyes ISTIT Troyes France

ISBN: (纸本)9781479935703

The design of adaptive nonlinear filters has sparked a great interest in the machine learning community. The present paper aims to present some recent developments in nonlinear adaptive filtering. We present an in-depth analysis of the performance and complexity of a class of kernel filters based on the recursive least-squares algorithm. A key feature that underlies kernel algorithms is that they map the data in a high-dimensional feature space where linear filtering is performed. The arithmetic operations are carried out in the initial space via evaluation of inner products between pairs of input patterns called kernels. We evaluated the SNR improvement and the convergence speed of kernel-based recursive least-squares filters on two types of applications: time series prediction and cardiac artifacts extraction from magnetoencephalographic data.

关键词： Adaptive nonlinear filters kernel filters recursive least-squares algorithm Cardiac artifacts extraction

来源：评论

学校读者我要写书评

暂无评论

Robust least-squares Estimation with Harmonic Regressor: High Order algorithms

Robust Least-Squares Estimation with Harmonic Regressor: Hig...

引用

IEEE Annual Conference on Decision and Control

作者： Alexander Stotsky Signals & Systems Chalmers University of Technology Gothenburg SE - 412 96 Sweden

ISBN: (纸本)9781467357159

关键词： recursive least-squares algorithm Harmonic Regressor Strictly Diagonally Dominant Matrix High Order algorithms recursive Inversion information matrix Liapunov function higher-order algorithms

来源：评论

学校读者我要写书评

暂无评论

Model Reference Adaptive Control Design for the Buck-Boost Converter

Model Reference Adaptive Control Design for the Buck-Boost C...

引用

38th Annual Conference on IEEE-Industrial-Electronics-Society (IECON )

作者： Li, Yen-Fang Tsai, Ming-Fa Tseng, Chung-Shi Chiang, Yi-Fan Ming Hsin Univ Sci & Technol Dept Elect Engn Hsinchu Taiwan

ISBN: (纸本)9781467324212

In this study, a model reference adaptive digital control scheme is proposed for the buck-boost converter, The control design of the buck-boost converter is a challenging work because the buck-boost converter, which is a non-minimum phase (NMP) system, has a right half-plane zero, This controller design is based on the small signal model of the buck-boost converter and a reference model. A cost function of the output error and weighting control input is minimized for the buck-boost converter using the model reference adaptive control scheme, In the case that the plant parameters are uncertain (or unknown), a digital controller with model reference adaptive control scheme is proposed for the buck-boost converter using the recursive least-squares (RLS) algorithm to estimate the uncertain parameters. To verify the validity of the proposed controller, experimental set-up is built for the buck-boost converter and the fully digital adaptive controller is implemented by a digital signal processor TMS320-F2833S. From the experimental results, sound performances on voltage regulation can be achieved for the buck-boost converter with uncertain parameters using the proposed controller.

关键词： adaptive digital control buck-boost converter recursive least-squares algorithm non-minimum phase system Diophantine equation

来源：评论

学校读者我要写书评

暂无评论

Online Controller Tuning via FRIT and recursive least-squares

引用

IFAC Proceedings Volumes 2012年第3期45卷 76-80页

作者： Yuji Wakasa Kanya Tanaka Yuki Nishimura Graduate School of Science and Engineering Yamaguchi University 2-16-1 Tokiwadai Ube Yamaguchi 755-8611 Japan.

This paper proposes an online type of controller parameter tuning method by modifying the standard fictitious reference iterative tuning method and by utilizing the so-called recursive least-squares (RLS) algorithm, which can cope with variation of plant characteristics adaptively. As used in many applications, the RLS algorithm with a forgetting factor is also applied to give more weight to more recent data, which is appropriate for adaptive controller tuning. Moreover, we extend the proposed method to online tuning of the feed-forward controller of a two-degree-of-freedom control system. Finally, numerical examples are provided to illustrate the effectiveness of the proposed method.

关键词： Fictitious reference iterative tuning online tuning PID control recursive least-squares algorithm adaptive algorithm

来源：评论

学校读者我要写书评

暂无评论

Implementation of a mixed recursive least-squares and Kalman filter approach in parameters, flux, and speed estimation for vector-controlled induction motor drives

引用

ELECTRIC POWER COMPONENTS AND SYSTEMS 2008年第4期36卷 359-386页

作者： Maragliano, G. Marchesoni, M. Univ Genoa Dept Elect Engn I-16145 Genoa Italy

Today, vector-controlled induction motor drives play a major role in several applications ranging from transport to industrial applications and so on. However, vector control is quite complex and two aspects are always of great concern: electrical parameters real-time knowledge and speed-sensorless control. In this article, the development of a recurrent least-squares estimator devoted to the real-time knowledge of the electrical parameters of the motor is presented first. Subsequently, the implementation of a Kalman flux and speed estimator that only uses the electrical variables of the motor is also presented, and its exploitation to improve the least-squares parameters estimation process and the related results are shown and discussed.

关键词： parameter estimation induction motor drive recursive least-squares algorithm Kalman filter

来源：评论

学校读者我要写书评

暂无评论

New method to reduce errors in antenna pattern measurement using RLS algorithm

New method to reduce errors in antenna pattern measurement u...

引用

Asia-Pacific Microwave Conference

作者： Dianat, Javad Ghobadi, Ch. Nourinia, J. Urmia Univ Dept Elect Engn Orumiyeh Iran

ISBN: (纸本)078039433X

This paper presents a new method to reduce stray signal errors in antenna radiation pattern measurement using RLS algorithm (recursive least-squares algorithm). Stray signals create by reflection and scattering of the range antenna field from fixed objects in the range and by leakage of the range RF system. This method can be used on static far-field range. In this method, an antenna with the known pattern (reference antenna) is placed in the test zone to find the optimal tap weights of the RLS algorithm. By the optimal tap weights, radiation pattern of AUT (Antenna Under Test) is corrected. The effectiveness of this method is confirmed by some simulation results.

关键词： antenna radiation patterns electromagnetic wave reflection electromagnetic wave scattering least squares approximations recursive estimation antenna radiation pattern measurement antenna under test optimal tap weights recursive least-squares algorithm re antenna radiation patterns Electromagnetic wave reflection recursive estimation Electromagnetic wave scattering Rhenium pattern measurement

来源：评论

学校读者我要写书评

暂无评论

A comparative study of three recursive least-squares algorithms for single-tone frequency tracking

引用

SIGNAL PROCESSING 2003年第9期83卷 2059-2062页

作者： So, HC City Univ Hong Kong Dept Comp Engn & Informat Technol Kowloon Hong Kong Peoples R China

Modified covariance, Pisarenko harmonic decomposition and reformed Pisarenko harmonic decomposition methods are three closed form frequency estimators, which are derived from the linear prediction property of sinusoidal signals. In this paper, we develop the recursive least-squares-type realizations of these estimators for a single real tone, and their frequency tracking performances are contrasted via computer simulations. (C) 2003 Elsevier B.V. All rights reserved.

关键词： adaptive frequency tracking real sinusoid recursive least-squares algorithm

来源：评论

学校读者我要写书评

暂无评论

Adaptive prediction of time-varying channels for coded OFDM systems

Adaptive prediction of time-varying channels for coded OFDM ...

引用

IEEE International Conference on Acoustics, Speech, and Signal Processing

作者： Schafhuber, D Matz, G Hlawatsch, F Vienna Univ Technol Inst Commun & Radio Frequency Engn A-1040 Vienna Austria

ISBN: (纸本)0780374029

We propose adaptive channel predictors for orthogonal frequency division multiplexing (OFDM) communications over time-varying channels. Successful application of the normalized least-mean-square (NLMS) and recursive least-squares (RLS) algorithms is demonstrated. We also consider the use of adaptive channel predictors for delay-free equalization, thereby avoiding the need for regular transmission of pilot symbols. Simulation results demonstrate the good performance of the proposed techniques.

关键词： adaptive estimation time-varying channels OFDM modulation prediction theory least mean squares methods recursive estimation adaptive equalisers adaptive prediction time-varying channels coded OFDM systems adaptive channel predictors orthogonal frequency division multiplexing OFDM communications normalized least-mean-square algorithm NLMS algorithm recursive least-squares algorithm RLS algorithm delay-free equalization performance

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：