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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 a
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神经网络辨识不受非线性模型的限制,它依据被辨识系统的输入输出数据对,通过学习得到一个描述系统输入输出关系的非线性映射。给定一个输入,即可得到一个输出,而不需要知道输入输出之间存在着怎样的数学关系。这种自学习特点使得神经网络在解决复杂非线性问题方面具有其独特的优势。-Neural network identification of nonlinear model without restrictions, it was recognition system based on the input a
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从改进提议分布的成片野值容错能力入手，提出了基于残差正交判别的UPF容错滤波算法，该算
法将残差正交判别法UKF的野值自适应性和粒子滤波的“适者生存性”有机地结合起来．通过非线性状态估计
的实验，证实了这种新的自适应粒子滤波对成片野值处理的有效性，-Proposal from the improved value of the distribution of fault tolerance into the film field, put forward an identificatio
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各种非线性系统辨识的编程方法，主要是matlab工具箱的使用，以及常规的几种结构模型，有利于非线性系统辨识的朋友-All kinds of nonlinear system identification method of programming, mainly is the use of matlab toolbox, and conventional several structure model, be helpful for nonlinear system identification
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目前牵引变压器差动保护原理在某些因素的影响下并不能准确地区分变压器内部故障和外部故障，可能造成保护误动或拒动，危及电气化铁道系统的安全运行。针对这一现状，建立了计及铁芯非线性特性和磁滞效应而又无需铁芯的B－H曲线数据的牵引变压器模型，提出了一种通过参数辩识理论来辩识牵引变压器绕组参数实现牵引变压器微型机保护的方法。该方法能有效地区分内部故障、外部故障和励磁涌流。仿真计算表明了该方法的正确性和可行性。-Traction transformer differential protection pri
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系统辨识用，用来辨识非线性系统的参数，还可以对非线性系统进行仿真。-System identification, used to identify nonlinear system parameters, it can also nonlinear system simulation.
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最小二乘算法，系统辨识用，用来辨识非线性系统的参数，还可以对非线性系统进行仿真。-System identification, used to identify nonlinear system parameters, it can also nonlinear system simulation.
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最小二乘辨识参数，用来辨识非线性系统的参数，还可以对非线性系统进行仿真。-Least squares identification parameters, used to identify nonlinear system parameters, it can also nonlinear system simulation.
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系统辨识用，用来辨识非线性系统的参数，还可以对非线性系统进行仿真。-System identification, used to identify nonlinear system parameters, it can also nonlinear system simulation.
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提出基于核函数主元分析的机械故障诊断方法, 它保留主元分析的优点并具有处理非线性的能力。该方法通过核函数映射将非线性问题转换成高维的线性特征空间, 然后对高维空间中的映射数据作主元分析,提取其非线性特征, 对机械故障模式进行识别。并与主元分析方法进行对比分析, 实验结果表明核函数主元分析法非常有效。-Proposed mechanical fault diagnosis method based on Kernel Principal Component Analysis, it retains
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BLOCK ORIENTED NONLINEAR SYSTEM IDENTIFICATION
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在程序设计和调试过程中①只要在程序中增加类似m或n的循环语句，便可用神经网对三维或三维以上的非线形函数训练，也可以用在复杂系统二个以上独立变量、任意维非线性动态参数的辨识-In program design and debugging process ① similar increase in the program as long as m or n of the loop, you can use the neural network over a three-dimensional or
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非线性控制系统的支持向量机辨识建模研究
针对非线性控制系统辨识建模难的问题， 系统研究了基于支持向量机的非线性控制系统的辨识建模理论和方法，
然后利用回归型支持向量机( Support Vector Regression， SVR) 设计了一个非线性控制系统的辨识建模系统 仿真试验结果表明， SVR 具有很高的建模精度和较强的泛化能力， 从而验证了该辨识方法的有效性和先进性。-Nonlinear Control Systems Support Vector Machine Iden
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This paper describes a modeling approach for
nonlinear dynamic systems based on a modified Volterra series
by comparing the truncation error of this series with that of the
classical Volterra one, we outlined that, under the assumption of
sh
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This paper presents a comparative study on the
suitability of using Hammerstein or Wiener models to
identify the power amplifier (PA) nonlinear behavior
considering memory effects. This comparative takes into
account the operational complexit
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基于系统辨识理论和数据驱动建模方法，建立了供水管网 NARX（Nonlinear
Auto-Regressive with eXogenous Inputs）神经网络模型-Based on system identification theory and data driven modeling method, a neural network model of water supply network is established.
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作为控制科学与工程中一个新的研究领域,分数阶控制的研究愈来愈被关注.简要介绍了分数阶控制的数学背景和基本知识,对分数阶控制理论及应用(分数阶系统模型、系统分析、分数阶控制器、非线性分数阶系统、系统辨识)的-Control Science and Engineering as a new field of study, research is increasingly controlled Fractional attention briefly introduces the mathematic
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关于非线性离散系统辨识，FIR 底通和带通滤波器和IIR 底通和带通滤波器，意信号卷积的运算,并且绘制图象。- Nonlinear discrete system identification, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, Convolution operation is intended to signal and image rendering.
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关于非线性离散系统辨识，包括最后计算压缩图像的峰值信噪比和压缩效果的源码,虚拟力的无线传感网络覆盖。- Nonlinear discrete system identification, Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, Virtual power wireless sensor network cove
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BP神经网络用于函数拟合与模式识别，关于非线性离散系统辨识，对HARQ系统的吞吐量分析。- BP neural network function fitting and pattern recognition, Nonlinear discrete system identification, HARQ throughput analysis of the system.
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