同时给出该类模型中未知参数的辩识方法。
Meanwhile the method of determining the unknown parameters in the model is proposed.
惯性测量与姿态参考系统中未知参数辨识。
The identification of the undetermined parameter in the inertial surveying and attitude reference system.
因此提供了一种计算未知参数估计的简单方法。
Thus, this method provides an easy way of computing estimations of unknown parameters.
在本文中我们将上述方法推广到未知参数的系统。
In this paper, we have generalized the above method and used it in systems with unknown parameters.
用此观测器不需要估计未知参数及求解线性矩阵不等式。
With the proposed observer, estimating the unknown parameters and solving linear matrix inequalities are not needed.
本构方程中的未知参数由应力松弛试验和参数识别技术来确定。
The unknown parameter of the equation is fixed by stress relaxation test and parameter identification technology.
旨在利用多项式样条方法，对未知参数和非参数函数进行估计。
The purpose is to estimate unknown parameters and nonparametric function using a polynomial spline method.
这种模型的未知参数分两类，一类是固定效应，一类是方差分量。
The unknown parameters of this model are divided into two categories: one is the fixed effects, and the other is the variance components.
讨论一类带有线性未知参数的非线性互联系统的自适应跟踪控制问题。
In this paper, the problem of adaptive tracking control for a class of nonlinear large scale systems with unknown parameters entering linearly is discussed.
采用清晰度准则及最大值跟踪法解决点扩散函数的未知参数求解问题。
Finally, the question of the point-spread function's unknown parameter solver is settled by using the precision rule and the max-track way.
当平差模型中存在复共线关系时，未知参数的最小二乘估计很不可靠。
The least Square estimates are not reliable when there exists multicollinearity in adjustment model.
针对含有未知参数的励磁系统，提出了一种非线性自适应控制设计方法。
This work develops a design approach to nonlinear adaptive control system with unknown parameters and applies it to excitation control of power systems.
用状态观测器方法构造同步混沌接收系统，根据最速下降法辨识未知参数。
A synchronous chaotic receive system was constructed by a state observer method, and the unknown parameters were identified by steepest descend method.
探求模型中未知参数的估计及其分布一直是统计学研究中的感兴趣的问题。
In statistical studying, it is always an interesting topic to obtain the estimation and its distribution for an unknown parameter in model.
正交设计是立足于方差分析模型的，通过方差分析来估计模型中的未知参数。
Orthogonal design which is based on variance analysis model estimates unknown parameters using variance analysis.
其中自适应算法在线估计未知参数，模糊控制用来抑制由滑模控制引起的振动。
The adaptive algorithm can estimate unknown parameters online, and fuzzy control can damp the vibration caused by sliding mode control.
对椭偏术基本方程进行数学处理，应用微型计算机可由测量值直接求得未知参数。
After mathematical treatments of ellipsometry basic equations, unknown parameters can be obtained directly from measured data by means of the microcomputer.
北极区总是存在很多未知参数，尤其是当你降落的目的地是一片厚度未知的冰面。
Ittranspires that these are an uncommon set ofparameters in the polar regions, especially when your destination is a partially prepared landing area on sea ice of an unknown thickness.
讨论一般结构关系度量误差模型的大样本理论，给出了未知参数的一个强相合估计。
The general structural error-in-variable regression models is discussed. A consistent estimator of the regression parameter is presented.
线性模型的基本特征是，模型的未知参数是线性的，同时又线性的包含了随机误差项。
The basic characteristic of the linear model is the unknown parameter of the model is linear and it also includes the linear random error.
该方法包括：1）将选权拟合的方法应用于确定未知参数及其方差-协方差阵的初值；
The improvement includes: 1) the adaptive filtering by selection of the parameter weights is applied in the parameter estimation;
可信区间(CI)不仅用于确定未知参数值的可能范围，而且可用于回答假设检验的问题。
Confidence interval (CI) cannot only determine the possible range of unknown parameters, but also answers the hypothesis testing.
研究一类含有系统扰动，并且状态项与控制项中同时含有未知参数的非线性系统的反馈稳定问题。
The problem of adaptive stabilization for a class of nonlinear systems with unknown parameters both in state vector and control vector is studied.
考虑到接收机自动增益控制(agc)的影响，帧检测可以看作一个含未知参数的假设检验问题。
Involving effect of AGC (Automatic Gala Control), frame detection can be taken as a hypothesis test model with unknown parameters.
对这类模型的统计建模，人们既关心回归系数的估计，更关心误差条件方差结构中未知参数的估计。
For this kind of modeling, people care for not only the estimation of regressive coefficient but also the estimation of unknown parameters in conditional skedasticity.
本文针对未知参数的最小方差控制问题，提出了一种在谨慎控制器基础上加入探测信号的控制策略。
This paper presents a dual control strategy with a probing signal for the minimum variance control problems with unknown parameters.
至于GARCH(1,1)模型的估计过程，本文用最大似然估计法和BHHH算法求未知参数值。
As to the estimating process of GARCH (1, 1) model, the author adopted Maximum Likelihood Estimation and BHHH algorithm to get unknown parameters' value.
所导出的临界风速公式结构简单、未知参数容易确定，便于对临界风速的预测，可以用来推广使用。
The derived formula of Critical ventilation velocity is simple and easy to determine the unknown parameters which help predict Critical ventilation velocity and can be promoted.
在不知道随机序列的概率密度函数的情况下估计出模型阶次及未知参数，使实际问题的解决成为可能；
When the probability density function of the random series is unknown, the order of the model and the unknown parameters are estimated to make possible the solution for an actual case.
应用单层神经网络可以学习多变量模糊控制规则中的未知参数．还可由它来实现多变量模糊推理过程。
The parameters of me fuzzy control rules of me controller can be learned by the learning slgorithm of the neural netowrk. and the inference process can be realized by the network.
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