Description: This paper presents various applications of a nonlinear
adaptive notch filter which operates based on the concept
of an enhanced phase-locked loop (PLL). Applications of the filter
for online signal analysis for power systems protection, control and
power quality enhancement are presented. The proposed scheme
can be applied for signal analysis both under stationary and nonstationary
conditions. Based on digital time-domain simulations,
applications of the filter for a) sinusoidal waveform peak detection,
b) harmonic identification/detection, c) detection/extraction
of individual components of a signal, d) instantaneous reactive
current extraction, e) disturbance detection, f) noise reduction in
zero-crossings detection, and g) amplitude (phase) demodulation
for flicker estimation, are presented. Platform: |
Size: 153503 |
Author:yangyansky |
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Description: 好用的。系统辨识中,递推最小二乘估计(RLS)是辨识模型阶次的一个重要的算法。该程序通过实现该算法,得到模型阶次的估计值以及相关参数值。
-refrain. System identification, estimation recursive least squares (RLS) identification model is of the order of an important algorithm. The procedures through the realization of the algorithm, to be the order of the model and estimated value of the relevant parameters. Platform: |
Size: 109568 |
Author:叶梭 |
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Description: 基于多分辨分析的递阶逼近思想,采用正交小波网络研究了输入样本空间分布非均匀时非线性系统的
辨识问题. 重点讨论了样本非均匀时网格系的设计问题,并给出了基于该网格系的在线递阶辨识算法. 最后利用正
交小波网络分别对非线性静态和动态系统进行了仿真辨识.-Multiresolution analysis based on Hierarchical Approximation thinking, the use of orthogonal wavelet network to study the spatial distribution of input samples of non-uniform when the identification of nonlinear systems. Focused on the sample of non-uniform grid lines when the design problems, and gives based on the grid line-line hierarchical identification algorithm. Finally the use of orthogonal wavelet network respectively, the nonlinear static and dynamic system simulation identification. Platform: |
Size: 340992 |
Author:guole |
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Description: BP神经网络已广泛应用于非线性建摸、函数逼近、系统辨识等方面,但对实际问题,其模型结构需由
实验确定,无规律可寻。简要介绍了利用 Matlab语言进行 BP网络建立、训练、仿真的方法及注意事项。 -BP neural network has been widely used in nonlinear modeling, function approximation, system identification, etc., but the practical problems, the model structure required by the experiment, if there is no law to be found. Briefly introduce the use of Matlab language BP networks, training, simulation methods and Cautions. Platform: |
Size: 93184 |
Author:覃亮朋 |
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Description: 有关非线性辨识的一些文章,包括模糊辨识,最小二乘辨识等等,还不错,需要做这方面的同学看看吧-Nonlinear Identification of some of the relevant article, including the fuzzy identification, least squares identification, etc., is also true that the need for students to do in this area take a look at it Platform: |
Size: 4654080 |
Author:安然 |
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Description: 本文主要研究利用神经网络进行非线性辨识及自适应控制。
-This paper studied the feasibility of using neural network nonlinear identification and adaptive control. Platform: |
Size: 1412096 |
Author:陆见 |
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Description: The subject of this book covers three different specific academic areas:
Nonlinear systems, adaptive filtering and system identification. Platform: |
Size: 2873344 |
Author:Gurol |
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Description: 【1】随机序列产生程序
【2】白噪声产生程序
【3】M序列产生程序
【4】二阶系统一次性完成最小二乘辨识程序
【5】实际压力系统的最小二乘辨识程序
【6】递推的最小二乘辨识程序
【7】增广的最小二乘辨识程序
【8】梯度校正的最小二乘辨识程序
【9】递推的极大似然辨识程序
【10】Bayes辨识程序
【11】改进的神经网络MBP算法对噪声系统辨识程序
【12】多维非线性函数辨识程序的Matlab程序
【13】模糊神经网络解耦Matlab程序
【14】F-检验法部分程序
-【1】 【2-random sequence generation process white noise generation process】 【3】 M sequence generation process 【4】 to complete a one-time second-order system least-squares identification procedure 【5】 actual pressure system least-squares identification procedure 【6】 Delivery Push the least squares identification procedure augmented 【7】 【8】 least square identification procedures for gradient correction least square identification procedure 【9】 Recursive maximum likelihood identification procedures 【10】 【11】 Bayes identification procedures Improved neural network algorithm MBP noise system identification procedure 【12】 multi-dimensional nonlinear function identification program Matlab program 【13】 fuzzy neural network decoupling Matlab program 【14】 F-test part of the program Platform: |
Size: 7168 |
Author:jshuska |
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