遗忘因子

推广的遗忘因子递推最小二乘算法在GPS中的应用

Application of the Extented Forgetting Factor Recursive Least Squares Estimator to GPS

带遗忘因子的H∞滤波在机载SAR运补系统中的应用

On H ∞ Filtering with Forgetting Factor for Airborne SAR Motion Compensation System

遗忘因子法参数辨识及其在Matlab中仿真实现

Fvrls Parameter Identification and Emulate Based on Matlab

一种针对循环平稳信号的变遗忘因子RLS算法

A Variable Forgetting Factor RLS Algorithm for Cyclostationary Signals

在传统的加权遗忘因子法的递推算法中，方差矩阵P（k）由于衰减很快而极易失去正定性。

In the Conventional weighted recursive least squares algorithm with forgot factors for complex-domain data , the covariance matrix P ( k ) converges to zero as time index k tends toward infinity .

提出一种改进的CAB算法&遗忘因子CAB算法（F-CAB），该算法无需对循环频率进行估计。

An improved algorithm was presented , called forgetting factor CAB ( F CAB ), in which cyclic frequency need not be estimated .

使用带遗忘因子的递推最小二乘法估计电网电压值，并使用PID控制器跟踪实时的电网频率。

Recursive least squares with forgetting factor ( FFRLS ) method was applied to estimate the power system voltage , and PID controller was used to track the real-time power frequency .

提出了一种宽带信源DOA跟踪的新方法，通过选择合适的遗忘因子，该算法对DOA快速变化的宽带信源有很好的跟踪能力。

A new wideband DOA tracking method is proposed . The new method has good tracking ability when the appropriate forgetting factor is selected .

这些静态数据的处理是基于这些学习方法从人类的学习方法抽象成Agent的学习方法的这样一个事实，但是它却忽略了人类的遗忘因子，人类学习之后很可能会忘记学过的知识。

The reason of this static treatment of data is due to the fact that these learning methods abstracted the agent learning from human learning and left behind the forgetting factor that affects the acquired knowledge after learning .

利用模糊聚类算法离线辨识T-S模型，采用带遗忘因子的递推最小二乘法进行模型参数的选择性在线学习；

T-S fuzzy model is identified by fuzzy clustering algorithm , and its parameters are self-learning online by selective recursive least square method .

MATLAB仿真结果表明，这种基于指数遗忘因子的新型自校正控制算法设计出的氧化铝浓度控制系统具有良好的稳定性和抗干扰能力。

MATLAB simulation results show that this new type of forgetting factor based on index is used for the control algorithm design of alumina concentration control system has a good stability and anti-jamming ability .

该文在获取均衡误差最小的即时过程中推导出一种应用在DFE中的自适应遗忘因子RLS算法。

In this paper , an adaptive forgetting factor algorithm is obtained based on on-line equalization error measurements .

研究结果表明，在遗忘因子为1时，RLS自适应滤波器能够很好地实现自适应逆控制中的各个环节。

The result show that if forgetting factor is equal to 1 , RLS adaptive filter can realize any part of the adaptive inverse control .

利用递推最小二乘法进行了系统系数辨识，并引入遗忘因子以提高TCS的模型跟踪性能。

System parameters were identified by adapting recursion least square method , and the forgetting factor was introduced to improve the model tracing ability of TCS .

针对机载SAR运补系统中使用的DGPS/SINS组合系统Kalman滤波器所遇到的发散问题，提出了带遗忘因子的H∞滤波新方法。

In view of the divergence of Kalman filter of integrated DGPS / SINS of airborne Synthetic Aperture Radar ( SAR ) motion compensation system , a new method on H ∞ filtering with forgetting factor is presented .

在ANN模型中引入了平滑因子和遗忘因子，从而加快收敛速度并解决了ANN的遗忘问题。

In the artificial neural net work model , this paper introduce the smoothing factor β and the forgetting factor γ, as the result the refrain speed was accelerated and the forgetting problem was solved .

利用带遗忘因子的最小二乘递推算法（LS）对实际的输出振幅进行估计，并根据实际输出的振幅对输入振幅进行自适应补偿控制。

The recursive least squares with oblivion factor is used to estimate the output amplitude of the test turn-table , and the input amplitude is compensated according to the actual output amplitude .

但IIR陷波器的自适应算法都存在收敛慢，对初始条件、遗忘因子、平滑因子敏感等问题，不能有效抑制窄带干扰。

As the adaptive algorithm of time-domain IIR notch filter is sensitive to initial conditions , forgotten factor and smooth factors , it is not effective against NBI .

利用伯努利过程对随机丢包现象进行数学描述，在此基础上，结合基于遗忘因子法的丢包补偿策略，提出了新的NCS模型。

The control packet dropout is described as a Bernoulli process . Then , in terms of the strategy based on forgetting factor method , a new NCS model is proposed .

该文根据稳定性负载电网谐波具有重复周期性特点，提出了PI型迭代学习控制算法，并引入遗忘因子学习律，增强系统鲁棒性。

According to the character of re-period of current harmonics in steady-load power system , this paper presents an algorithm of PI-type iterative learning control , in the same of using a forgetting factor to enhance systemic robust ;

特别是遗忘因子ECAB算法，在循环频率误差较大的情况下，仍能保持很好的性能。

Especially forgetting factor ECAB has excellent performance under large cyclic frequency error .

在迭代的每一步，均利用M-估计器和Huber函数相结合构造作为更新偏差函数的遗忘因子。

The M-estimator combined with the Huber function is used to con-struct the weighting forgetting factor as a reciprocal function of biased innovation at each time step .

对归一化LMS算法做了改进，新算法对输入信号进行了归一化处理并采用了带有遗忘因子的函数，为了提高收敛速度又加入了控制初始步长的因子。

Improving normalized LMS algorithm . The new algorithm normalizes the input signal and uses the function which have forgetting factor , in order to improve the convergence it also adds a parameter to control the initial step size .

针对时域ⅡR陷波器的自适应算法收敛速度慢，对初始条件、遗忘因子、平滑因子敏感等问题，提出了基于DFT频率估计的改进方法。

As follows it is the main content of this paper : ( 1 ) As the adaptive algorithm of time-domain IIR notch filter is sensitive to initial conditions , forgotten factor and smooth factor , a modified method based on DFT frequency estimation is proposed .

利用随机过程理论研究了遗忘因子最小二乘法（FFLS）的有界收敛性，给出了参数估计误差的上界。

Based on stochastic process theory , the bounded convergence of forgetting factor least square algorithm ( FFLS for short ) is studied and the upper bound of the parameter tracking error is given .

遗忘因子选取对于时变参数识别结果的影响

Effect of forgetting factors on estimated results of time varying parameters

本文研究了基于遗忘因子的自适应滤波算法。

This paper adopts adaptive Kalman filter with forgetting factor .

带遗忘因子的限定记忆辨识算法

An identification method combing forget factor with restricted memory length

故障诊断中遗忘因子的选取方法

A Study on the Method to Choose Past Factor in Fault Diagnosis

一种自动调整遗忘因子的快速时变参数辨识方法

An identification algorithm with auto-regulation forgetting factor for fast time varing system