An unknown parameter nonlinear system is investigated by means of wiener expansion theory.
利用维纳级理论研究了一类特性参数未知的非线性系统。
With help of the maximum-Likelihood estimation, Estimating algorithm of unknown parameter is obtained;
对离散型的数学模型人们已得到了众多的参数估计算法。
The unknown parameter of the equation is fixed by stress relaxation test and parameter identification technology.
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 only part remaining is the handling of error reporting (such as an unknown parameter flag character or a numeric value out of range).
最后剩下的部分就是处理错误报告（例如一个未知的形参标记字符或者一个超出范围的数字值）。
The basic characteristic of the linear model is the unknown parameter of the model is linear and it also includes the linear random error.
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。
Finally, the question of the point-spread function's unknown parameter solver is settled by using the precision rule and the max-track way.
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。
In statistical studying, it is always an interesting topic to obtain the estimation and its distribution for an unknown parameter in model.
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。
The robust M-estimate of the unknown function is proposed by local linear method, and the robust M-estimate of the unknown parameter by tow step method.
用局部线性方法给出未知函数的M-估计，用两步估计方法给出参数的M-估计。
The channel friction is importance parameter of hydraulic analysis, a channel friction parameter inversion method based on Kalman filter with unknown parameter vector is proposed.
河道糙率是洪水水力计算的重要参数，引入控制论理论，应用带参数的卡尔曼滤波法进行河道糙率反演分析。
In combination with the Bayes estimator for the parameter of linear exponential model under the same loss function, the nonparametric empirical Bayes estimator of the unknown parameter was obtained.
然后结合线性指数模型未知参数在相同损失函数之下的贝叶斯估计得到了未知参数的非参数经验贝叶斯估计。
The weak consistence and the asymptotic normality of the robust M-estimate of the unknown function are given, and the weak consistence of the robust M-estimate of the unknown parameter is established.
进一步证明了未知函数的M-估计的弱一致性和渐近正态性，参数的M-估计的弱一致性。
Wildcards - the funky question marks where a type parameter should go - are a means of expressing a type constraint in terms of an unknown type.
通配符—使用一个奇怪的问号表示类型参数—是一种表示未知类型的类型约束的方法。
Now let's see how to execute an SQL statement which is unknown at the time the application is written and has parameter markers or placeholders; that is, a truly dynamic SQL statement.
现在让我们来看一下如何执行在编写应用程序时还不确定并且具有参数标记（即占位符）的SQL语句 ——即真正的动态 SQL 语句。
The system under consideration involves state time delay, control input time delay, parameter uncertainties and unknown nonlinear disturbances.
系统包含状态时滞、控制输入时滞、参数不确定性和未知的非线性扰动。
Finally the parameter of the residual generator is optimized, so that the fault detection system is robust to the unknown inputs and simultaneously sensitive to the faults.
最后优化残差产生器的参数，使得故障检测系统对未知输入具有较强的鲁棒性，同时对故障具有较高的灵敏度。
For uncertain systems with parameter uncertainty and unknown disturbance, a two-degree-of-freedom control structure was proposed based on sensitivity function.
针对具有参数不确定性和外部未知扰动的不确定系统，基于灵敏度函数，提出了一种二自由度控制结构。
The Bayesian credible intervals that arise when a parameter is given a uniform distribution over the restricted range and nuisance parameters are unknown have good frequentist coverage probabilities.
当参数限制在某一范围内并服从一致的分布，且多余参数未知时，其贝叶斯置信区间有很高的置信概率。
The adaptive process extenuates the influence of parameter uncertainty, and the robustness of the dynamic sliding mode control inhibits the influence of unknown dynamics and measurement noise.
用自适应过程减小参数不确定性的影响，并通过动态滑模控制器的高鲁棒性抑制机器人模型中的未知非线性动力学及测量噪声等的影响。
The method is robust to the parameter and the input sequence of data, also can detect unknown intrusions.
该方法对于参数和数据输入顺序具有稳健性，且对新的入侵有一定的检测能力。
Especially in the transmitting antenna correlated parameter unknown circumstances, an innovational channel estimation algorithm which takes use of the long & shot training sequence is proposed.
尤其在发射天线相关参数未知情况下，本文创新性地提出了一种利用长训练序列和短训练序列进行联合信道估计的算法。
In this paper, the robust output tracking control problem for nonlinear systems is discussed. The robustness against structure and parameter uncertainties and unknown disturbances is considered.
研究有界不确定性非线性系统的鲁棒跟踪问题，考虑了在同时存在参数、结构及干扰的不确定性条件下，控制系统的鲁棒性。
The new controller regards the influence of unknown disturbances and parameter uncertainties as an equivalent disturbance and generates an on-line estimation by the mechanism of time daley.
本文将干扰和参数不确定性等效为系统的外界干扰，利用时延性对不确定性进行在线估计，并根据全程滑模的特点采用等效控制方法设计控制器。
In particular, we focus discussion on joint confidence sets of the parameter mean and variance when a rounded sample comes from the normal distribution with both parameters unknown.
特别地，本文集中讨论当数据是来自参数未知的正态分布四舍五入后的数据，均值和方差的联合置信集。
Then the design of the unknown matrices of the functional observer is converted to the design of a parameter matrix using the theory of generalized inverse.
利用广义逆矩阵理论，将观测器的参数设计问题转化为求解一个参数矩阵的问题上来。
The second part of this thesis mainly research on solving the uncalibrated P5P problem when the camera intrinsic parameter is unknown and it is changeable in the camera motion.
在第二部分中，主要研究：摄像机内参数未知且在运动中可以变化的未标定P5P问题的求解。
In case of the noise statistic being unknown or variable, adaptive Kalman filter is used to get drift speed of each axle at each test position, and then drift parameter is calculated.
在噪声统计未知或时变的情况下，每个位置采用自适应卡尔曼滤波解算出平台各轴的漂移角速率，并在此基础上辨识出漂移参数。
Here, we suppose that the model structure is unknown. A unified description method of model set of multi-model system, including the identification method of model structure and parameter, is given.
这里不假定模型结构已知，给出了多模型系统模型族的统一描述方法，包括模型结构与参数的辨识方法。
This algorithm can effectively overcome the model mismatch, unknown disturbance and parameter variation.
该算法能够有效地克服模型失配、扰动和系统参数变化等情况。
Althoughpris a fundamental parameter in defining synaptic efficacy, it is not uniform across all synapses, and the mechanisms by which a given synapse sets its basal release probability are unknown.
尽管释放几率是衡量突触效能的基础指标，但是，突触是如何控制神经递质的释放目前还不为人们所知。
Althoughpris a fundamental parameter in defining synaptic efficacy, it is not uniform across all synapses, and the mechanisms by which a given synapse sets its basal release probability are unknown.
尽管释放几率是衡量突触效能的基础指标，但是，突触是如何控制神经递质的释放目前还不为人们所知。
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