广义最小方差,generalized minimum variance
1)generalized minimum variance广义最小方差
1.A generalized minimum variance self-tuning controller is applicable to the random system of outside interference whose process model has already know,but the parameters' changing is slow-moving.广义最小方差自校正控制器适用于过程模型已知,但参数缓慢变化且具有外干扰的随机系统。
2.Considering which,we built up the longitudinal motion model of it,and designed a self-tuning controller of generalized minimum variance for longitudinal attitude of the UAV.某型无人机主要用于典型空中目标的模拟飞行,需要严格稳定可靠的自主飞行控制,无人机在整个飞行包线中呈现非线性、时变特性,由此在建立其纵向运动数学模型的基础上,设计了无人机的纵向姿态广义最小方差自校正控制器。
英文短句/例句

1.A Generalized Minimum Variance Self-Tuning Controller with Pole Assignment极点配置广义最小方差自校正控制器
2.The Study of Application the Generalized Minimum Variance's Poke Placement Self-tuning Controller to the Hydraulic-servo System of the Precise Straightening Press;精校机液压系统广义最小方差极点配置自校正控制器的应用研究
3.Application of Self-Tuning Control of Generalized Minimum Variance in an UAV广义最小方差自校正控制在某型无人机中的应用
4.The Generalized Minimal Error Method for Solving Large Linear Systems;求解大型线性方程组的广义最小误差方法
5.modified generalized least squares method修正广义最小平方法
6.constrained GLS约束广义最小平方法
7.Conditions of Strong Rank Preservation for Fuzzy Generalized Least Deviations Methods;模糊广义最小偏差法的强保序性条件
8.A Class of Generalized Least Deviations Method for Prioriting in AHP;AHP中排序的一种广义最小偏差法
9.Generalized Least Squares Estimates of Parameters In Heteroscedastic Regression Model under Linear Constraint线性约束下的异方差回归模型参数的广义最小二乘估计
10.Optimal Error Estimates for Fourier Spectral Approxiation of the Generalized KdV Equation广义KdV方程Fourier谱逼近的最优误差估计
11.Aitken's generalised least squares normal equation艾特肯广义最小平方正规方程
12.Aitken's generalised least-squares estimator艾特肯广义最小平方估计量
13.This algorithm is optimal in the sense of linear minimum-variance.该算法在线性最小方差意义下是最优的。
14.On Robustness of GLSE in Terms of Error Distributions in Linear Model线性模型中广义最小二乘估计关于误差分布的稳健性
15.The Meshless Method with Modifying Generalized Moving Least Squares Approximation;改进广义移动最小二乘近似的无网格方法
16.generalized least squares estimator广义最小二乘估计量
17.A GENERALIZED VARIANCE-RATIO TEST FOR A HETEROSKEDASTIC REGRESSION;异方差回归中的广义方差比检验(英文)
18.Method of setting maximum speed limit based on minimum generalized running cost of vehicle基于汽车行驶广义费用最小的高速公路最高车速限制方法
相关短句/例句

Generalized Minimum Variance Control广义最小方差控制
1.Through simulation of the Generalized Predictive Controller and Generalized Minimum Variance Controller, the former shows better control quality than the latter, so it is very suitable to be the controller of the draw frame autoleveller.通过对广义预测控制器和广义最小方差控制器的对比仿真,证明了广义预测控制优于广义最小方差控制,对并条机对象的特点有针对性,符合自调匀整系统的要求。
2.On the basis of the Astrom stochastic control model,the problem of the non-minimum phase economic systems is discussed and the algorithm of generalized minimum variance control is designed.应用广义最小方差控制方法设计出自发投资的调控策略。
3)generalized minimum variance benchmarking广义最小方差基准
4)GMv广义最小方差算法
5)GMERR method广义最小误差方法
1.The first aspect is the restarted GMERR method augmented witheigenvectors.本文研究求解大型线性方程组的广义最小误差方法(GMERR),从两个方面对方法进行了改进,并提出了相应的算法。
6)Generalized Least Variance Controller广义最小方差控制器
延伸阅读

最小方差控制  使有随机噪声作用的系统的输出量的起伏方差保持为最小的控制方式。最小方差控制方式可应用于许多工业过程控制中。最小方差控制是随机最优控制(见随机控制理论)的特殊情形。随机控制的概念和方法也完全适用于这类控制。最小方差控制的求解和实现更为简单,应用更为方便。假定对象输出y(t)、控制输入u(t)和随机干扰 ε(t)之间的关系由可控自回归滑动平均(CARMA)时间序列模型来描述:      y(t)+a1y(t-1)+...any(t-n)       =b0u(t-k)+b1u(t-k-1)+...+bnu(t-k-n)+ ε(t)+c1ε(t-1)+...+cnε(t-n)式中t时刻输出值y(t)与直到n步前的值 y(t-n)有关这一事实,反映了运动过程的记忆性;输入u(t-k)要经过k步延迟才能影响输出值;ε(t)为前后独立的随机干扰序列。引入延迟算子q-1:q-1x(t)=x(t-1),并采用多项式记号:        A(q-1)=1+a1q-1+...+anq_n        B(q-1)=b0+b1q-1+...+bnq_n        C(q-1)=1+c1q-1+...+cnq_n则系统模型可简化为      A(q-1)y(t)=B(q-1)u(t-k)+C(q-1)ε(t)最小方差控制是使输出y(t)的方差V=E{y2(t)}取最小值的控制。由于控制u(t)只与y(t)、y(t-1)、...和u(t-1)、u(t-2)、...等已获取的信息有关,而u(t)直到k步后才开始影响输出y(t+k)的值,因此实现最小方差控制的关键在于预报k步以后的输出,然后选取控制值,使预报值恰等于理论值。最优控制解为       u=-B-1(q-1)G(q-1)F-1(q-1)y(t)式中多项式F和G由下列方程解出       C(q-1)=F(q-1)A(q-1)+q_kG(q-1)这里F的阶数不超过k-1。这类有限步数的最小方差控制还可推广到无穷步数的情形和多输入、多输出情形。    参考书目   K.J.奥斯特略姆著,潘裕焕译:《随机控制理论导论》,科学出版社,北京,1983。(K.J. Astr╂m,Introduction to Stochastic Control Theory,Academic Press, New York,1970.)