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1)  error weighting matrix
误差加权矩阵
1.
The time delay characteristic of the production process was taken into accout,the output predictive error weighting matrix was introduced into the cost function,and hence can be solved satisfactorily the control problem of the vitamin C production process which was characteris.
根据维生素C生产工艺的操作分析和对控制的要求,本文开发应用了隐式自校正广义预测控制算法和相应的程序,并针对过程的时滞特性,在性能指标中引入输出预测误差加权矩阵,较好地解决了该生产过程慢时变、大滞后的跟踪控制问题。
2)  Error influence matrices
误差权数矩阵
3)  covariance matrix weighting
协方差矩阵加权
1.
Broadband constant beamwidth beamforming based on covariance matrix weighting method;
基于协方差矩阵加权的任意阵列宽带恒定束宽波束形成方法
4)  error matrix
误差矩阵
1.
TELESIS error matrixes correction of BESII.;
北京谱仪ⅡTELESIS误差矩阵的修正
2.
All errors of the simulation turntable are descripted with the bar error matrix and pair error matrix, and building procedure of the coordinate system of the simulation turntable is expounded.
运用杆、副误差矩阵来描述三轴仿真转台的各项误差,详细阐述了三轴仿真转台的坐标系建立过程,建立了三轴仿真转台指向误差的数学模型,为进行三轴仿真转台的精确度分析奠定基础。
3.
An improved method of error matrix is used, and a simple method of error control is presented.
对原算法的误差矩阵的计算进行了改进,提出了一种简单的误差控制方法。
5)  weight matrix
加权矩阵
1.
By this ,this paper provide three training methods using weight matrix to emphasize the inherent differen.
在语音识别系统中,都是通过提取特征向量来计算待识语音与模型之间的概率或距肉,然后根据最大概率或最小距离判断待识语音的类别,对大量实验数据的观察发现:特征向量的各维对语音的表达能力是不一样的,同时特征向量在语音的时间轴上表达能力也不一样,根据这种特性,提出了三种训练算法:在训练中计算出加权矩阵,以此来加强易混淆数字间的本质区分特征,减弱随机特征,在汉语数字串识别实验中,得到了比较理想的实验结果,错误下降40。
2.
It is the key technology for design of the constant beamwidth array to calculate the weight matrix.
恒定束宽加权矩阵的获得方法是设计此类声纳基阵的技术关键。
6)  weighting matrices
加权矩阵
1.
A direct method to detecmine based on simple explicit relation among the optimal state feedback matix and the weighting matrices is proposed This method don′t need to do recursive calculation or complex transform for solving It is an effective approach to elminate the ″bottleneck″ problem that are caused by the application of LQ optimal theory to the engineerin
基于分析系统LQ最优控制解得到的最优状态反馈矩阵与加权矩阵之间的简单显式关系,提出一个直接确定[Q,R]的方法它不需要迭代计算或复杂变换,就能求解出[Q,R],为解决LQ最优控制理论在工程应用的“瓶颈”问题提供了一条有效途径
2.
MPC solved a constrained convex quadratic optimization by defining reference trajectories, constraint limits, prediction horizon, control horizon and weighting matrices.
通过设定参考轨迹、输入输出约束、控制步长、预测步长及加权矩阵,解决了系统的凸二次型优化问题。
3.
Based on the Hamiltonian system\'s theory,the relationship between closed-loop poles of system characteristic equation and weighting matrices was thoroughly investigated.
根据哈密尔顿系统理论,深入研究了系统特征方程的闭环极点和加权矩阵的关系,给出了希望加权矩阵的确定方法。
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