助手标题
全文文献 工具书 数字 学术定义 翻译助手 学术趋势 更多
查询帮助
意见反馈
共[27]条 当前为第1条到20条
 

相关语句
未完全匹配句对
    A New Approach to Continuous-time Kalman Filter with Estimation Error Variance Constraints
    具有估计误差方差约束的连续时间卡尔曼滤波新方法
    The simulation results show that, if the variance of channel estimation error is less than 10-4, the 16QAM system can achieve the preferred BER performance similar to the one with perfect channel estimation.
    本文的仿真分析显示,当信道估计误差的方差小于10-4时,16QAM系统可以获得接近理想信道估计时的误码率性能,这一结果具有重要实用意义。
    Mixed H_2/H_∞ filtering with estimation error variance constraints
    估计误差方差约束混合H_2/H_∞滤波
    The problem of robust H ∞ filtering for the Delta operator formulated uncertain discrete time systems with error variance constraints is considered.
    研究Delta算子不确定系统在稳态估计误差方差约束下的鲁棒H∞ 滤波问题 .
    On the presence of gyro drift, the estimation error of the platform misalignment is influenced by the cross angle β of the two-navigation-star vectors together with the number N of star observation,then the relative relationship is given and the result is instructive for engineering practice.
    本文对平台失调角估计误差的统计特性进行了分析,推导出了平台失调角估计 误差方差的表达式,给出了平台失调角估计误差与两颗导航星星矢量夹角β以 及观星次数N之间的关系,该结论对于工程实践中对β和N的选择具有指导意 义。
    Then,the BIT fault detection and diagnasis system is designed by the application of the H_2/H_∞ filter with steady-residual error variance constraints.
    基于估计误差方差约束混合H2/H∞滤波方法,设计了BIT故障检测诊断系统。
    First, we focus on the design of Kalman filters for stochastic 2-D FMII models. A generalized Kalman filter is proposed to stochastic 2-D FMII models that can minimize the variance of the estimation error of the state vectors. It is an extension of the well-known 1-D Kalman filter, which may avoid the dimension disaster in other relevant approaches.
    在随机2-D线性离散系统的Kalman滤波、白噪声估值器部分,将1-DKalman滤波推广到在状态和测量方程中均带有Gaussian白噪声的2-DFMII模型,使得状态向量的估计误差方差达到最小,同时克服了维数灾难,它是将Kalman滤波器向2-D离散系统的直接推广。
    Eventually, the parameter estimation performance of SCA is analyzed. Theoretical analysis and numerical results indicate that the estimator of parameter is biased, where the bias and variance of the parameter estimation error depends on whether the corresponding atom is active in thegiven signal.
    在此基础上,对稀疏成份分析算法的参数估计性能进行了理论分析与数值验证,结果表明参数估计是有偏的,偏差的大小及估计误差的方差与该原子上是否存在信号分量有关。
    1. Proportion-Differential filtering(PDF)is presented for nonlinear discrete time-varying stochastic systems. PDF is derived not only from taking into account minimizing variance of state estimation error, but regarding its rate of change. Therefore, it has higher estimating precision and stability than the extended Kalman filtering.
    1.提出非线性离散随机系统比例微分滤波,该滤波方法联合考虑极小化状态估计误差方差和状态误差变化率的方差,较扩展Kalman滤波稳定性强,提高了估计的精度.
    Second, we obtain general ized answers of weighted LS and optima1ly -weighted LS under a condition on singu1ar matrix, and discuss theperformance comparison between generalized optima11y weighted LSestimate and linear unbiased minimum variance estimate.
    其次,对有关矩阵不可逆的情况进行了讨论,得出了推广的加权最小二乘估计解,存在权系数W,在估计误差方差矩阵最小意义下,得出了推广的最优加权最小二乘解,并讨论了其与线性无偏最小方差估计解的性能.
    So this paper studies the theory of least squares estimation on linear model and it’s development course. The clue is the different requires of designing matrix and error variance in linear model. We discuss the resolving expression and equivalence of BLUE and least squares.
    因此本文研究线性模型参数的最小二乘估计的理论及相应的发展过程,主要是以对线性模型设计矩阵和估计误差方差的不同要求为线索,讨论其最小二乘估计(LS)和最优线性无偏估计(BLUE)的解析表达式与等价性。
    The solution of LS is obtained by minimizing variance of estimation errors. LS methods have advantages of smaller mount of calculation and higher precision of estimation.
    最小二乘方法的准则是使估计误差的方差最小,具有实现简单,估计精度较高等优点。
    No degrees of freedom left to estimate the error variance when the data of this design are analyzed, so the standard ANOVA can't be used.
    然而在分析这类数据时因为无多余的自由度可用于估计误差方差,因而不能采用标准的方差分析法。
    BIUP was more accurate because of its minimum predicted error variances (PEV).
    ②BLUP法较LS法精确,且以BLUP-1最精确,估计误差方差(PEV)最小;
    After the correlativeness of Legendre-polynomial approx ima ting values of continuous Wiener process and the biasedness of the least-squares estimation for continuous linear systems disturbed with the process via the polynomial are discussed, Markov method with unbiased consistence and the minimum variance of the estimated errors is proposed. Finally, simulation results of the method are given.
    本文在讨论连续Wiener过程的Legendre多项式逼近值的相关性和Wiener过程扰动下连续线性系统基于该正交多项式的最小二乘(LS)估计有偏性后,提出了无偏一致的且参数估计误差方差最小的Markov估计(最小方差估计)算法,并给出本文方法的仿真结果。
    Firstly,the least-squares parameter estimation method for linear continuous regressive models disturbed with Wiener process via Chebyshev polynomial approximation is proposed,then the correlativeness of the polynomial approximating values of Wiener process is discussed. Based on the correlative results of the approximating values of Wiener process,Markov parameter estimation algorithm which can give an unbiased consistent estimated values with the minimum covariance of the parameter estimated error is proposed.
    文中先提出了基于Chebyshev多项式逼近,有连续Wiener过程扰动的线性连续回归模型最小二乘参数估计算法,然后讨论了Wiener过程的Chebysbev多项式逼近值的相关性,在此基础上,提出了能获得参数估计误差方差为最小的Markov参数估计(最小方基估计)算法。
    The problem of state estimation for linear discrete-time stochastic systems with estimation error variance and H_∞ morm constraints is considered. The aim of this problem is to design the filter gain such that the steady-state estimation error variance for each state is not greater than the prespecified value,and the transfer function from disturbances to error states satisfies the prespecified H_∞ norm constraint,simultenous-ly.
    考虑了线性离散随机系统在估计误差方差和H_∞范数约束下的状态估计问题,即设计滤波增益,使系统每个状态分量的估计误差方差的稳态值不大于预先指定值,同时从扰动到误差状态输出的传递函数也满足预先给定的H_∞范数约束。
    This paper considers the problem of robust constrained variance state estimation for linear continuous , stochastic systems with structured parameter perturbations. The problem is the design of filter gains such that the steady-state value of the estimation error variance for each state of the perturbed. system is not more than the prespecified value, and .
    本文考虑含结构参数扰动的线性连续随机系统的鲁棒约束方差状态估计问题,即设计滤波增益,使受扰系统每个状态分量的估计误差方差的稳态值不大于预先给定值,同时滤波矩阵具有期望的稳定裕度.本文给出了上述性能鲁棒滤波增益的存在条件及解析表达式,并提供了相应的数值例子.
    Many traits of animal are dynamic. Common method used to estimate genetic parameters of those traits is to construct a mathematical model followed by analysing its genetic law upon the changing regular of a few parameters.
    本文在建立个体动态性状数学模型同时,计算了模型参数估计误差方差,依此标准化模型参数,完善了动态性状遗传参数的估计方法。
    The motivation for this study is that in the area of state estimation,the Performance requirements are usually described in terms of the upper bounds on the error variance of state estimation.
    在状态估计领域中,指标要求常直接以状态分量的估计误差方差上限的形式给出。
 

首页上一页12下一页尾页 

 
CNKI主页设CNKI翻译助手为主页 | 收藏CNKI翻译助手 | 广告服务 | 英文学术搜索
版权图标  2008 CNKI-中国知网
京ICP证040431号 互联网出版许可证 新出网证(京)字008号
北京市公安局海淀分局 备案号:110 1081725
版权图标 2008中国知网(cnki) 中国学术期刊(光盘版)电子杂志社