未知状态

这会使容器处于未知状态，从而有可能导致数据损坏。

This could leave the container in an unknown state , possibly causing data corruption .

如果存在未知状态的链接，那么类型图标上就将出现红色的问号。

If there is a link in an unknown state , there will be a red question mark on the type icon .

然后将设计出的控制律u中的参数用其辨识参数来代替，并用系统的估计状态代替控制输入u中的未知状态用作反馈，得到基于系统辨识、状态观测器的控制律。

With the parameters identified , - u-the control law is designed for a class of chaotic systems .

虽然借助mRNAs来分析miRNAs的大量工作已经用于阐述miRNAs的调控机理，但是它们大部分的准确功能仍然处于未知状态。

Although much work has been done to elucidate the regulatory mechanism of miRNAs by associating miRNAs with mRNAs , their precise functions are still largely unknown .

然而，人类基因的补充部分的具体情况现在还处于未知状态。

The exact details of this supplementary human genome are , however , unknown .

这种未知状态容易带来羊群效应，对消费者和投资者都是如此。

This ignorance makes people susceptible to Herding Behaviour , both as consumers and investors .

表演者在未知状态下从自我出发创造舞台情态，在积极的心理活动中达到下意识创造人物精神生活的目的。

The performer un self consciously acts out his imaginations and reaches the objective of creating the role 's spiritual activity .

该方法减少了未知状态变量的数量，从而简化了循环判断过程和便于程序设计。

It reduces the amount of unknown variables and simplifies the recycling process of judgement , and it is easy to be programmed .

根据粒子滤波器序贯实时估计出未知状态和参数，相比期望最大化统计近似算法算法，减少了计算复杂度和存储需求，而且由于引入了参数空间分集明显改善了参数估计性能。

The unknown states and parameters are estimated sequence according to the particle filter which decreases the complexity of computation and store requirement .

通过求解方程组，便得上表面未知状态量，最终可以得到任意位置处状态量。

A set of equations to find the top surface unknown state quantities was obtained by utilizing the top and bottom surface known quantities .

该方法能够实现已知状态的识别，而且能够自主记忆并识别机组未知状态，具有一定的快速反应性和鲁棒性。

This method can not only recognize the known states , but also remember the unknown ones and recognize them with fast reactions and robustness .

滤波研究是解决此类问题的有效手段，其目的是通过可能含有噪声的测量信息来估计一个给定系统的未知状态。

Filter research is the effective method to solve this problem . Its purpose is to estimate the system state through the noise measurement information .

通过基于重要性采样和蒙特卡罗模拟方法得到一高斯分布来近似未知状态变量的后验分布。

A single Gaussian distribution is obtained to approximate the posterior distribu - tion of state parameters based on sequential importance sampling and Monte Carlo methods .

由于验证发生在组件值绑定到模型之前（在更新模型值阶段），所以模型处于未知状态。

Because validation occurs before the component values are bound to the model ( in the update model values phase ), the model is in an unknown state .

不过，在实时系统中使用热更新并不明智，因为热更新可能导致系统进入未知状态。

However , it is not advisable to use hot update in real time system , because hot update could result in the system leading into an unknown state .

准确的状态方程是基于模型的状态估计算法准确有效的重要前提，但实际应用中，未知状态的先验信息是难以准确获得，这样会导致建立的状态模型存在大的模型不确定性。

In practical application , to obtain the prior information of unknown state is very difficult and as a result , the state model based on it has large uncertainty .

从现代控制理论的观点出发，用卡尔曼滤波器的方法，把系统中的夫知参数作为未知状态来估计，对微机控制的液压伺服系统建立了含有非线性参数的线性动态数学模型。

For the high accuracy action of a hydraulic servo system , a linear dynamic model of the system including nonlinear elements is derived by using the Kalman filtering technique .

当系统进入结构改变等未知状态时，转入在线参数辨识模式，辨识成功后，更新模糊决策表，使系统具有自学习功能。

The excitation controller worked at on-line identification model when the system structures have been changed and updated fuzzy decision list when the identification have been succeeded , so the system have the ability of auto-learning .

从服务器返回了未知的状态应答XX！

Unknown status reply from server XX !

在Actor-Critic框架下，建立归一化径向基网络的自适应调节机制，实现未知系统状态空间的动态创建。

Under the Actor-Critic architecture , the adaptive adjustment mechanism for normalized radial basis function network was established to realize the state space construction dynamically .

我希望自己的工作处于一种未知的状态。

I hope that my work is in an unknown state .

提出了一种新的未知信号状态模型&多项式预测模型，并给出其滤波算法。

A novel state model of unknown signal-polynomial prediction model ( PPM ) and its optimal filtering algorithm are proposed in this paper .

在这个系统中，如果发射机端未知信道状态信息或发射信号总功率很高时，等功率传输获得的信道容量是最优的。

In the systems , the equal power transmission scheme in channel capacity is optimal if the transmitter has no information about the channel or total transmit power is high enough .

仿真结果表明，在目的地节点未知信道状态信息和中继节点非完全同步的情况下，本论文提出的方案可以同时获得空间分集和多径分集。

Simulation results show that , The proposed scheme can achieve both spatial and multi-path diversities without either perfect synchronization at the relays or any instantaneous channel state information at the destination node .

程序运行结果表明，待分类参量（未知运行状态下的特征量数据）输入后，输出类别基本符合预期结果，分类效果较好。

The result shows that the output categories of the classifiers in line with expected result when the classified parameters ( the feature vector of unknown running state ) are put into the classifier .

针对一类模型未知及状态不可测的非线性系统，提出了基于自适应神经网络的故障诊断策略，不仅在线估计神经网络的矩阵权重，而且在线估计高斯函数的宽度和中心。

Fault diagnosis architecture based on adaptive neural networks for a class of unknown nonlinear systems with unmeasured states is proposed . The center vector and width vector of Gaussian function are on-line updated but updating weight matrix .

其结果并不依赖于某些未知的最终状态。

So the outcome doesn 't depend on some foreseen final state .

该算法对信道系数、噪声参数以及传输码元等未知变量进行状态空间建模并递推出这些变量的联合后验分布。

The method uses the state-space to model the channel coefficients , noise parameters and transmitted symbols .

如果重设中心位置，那么在倾斜超过阈值后将产生一个跳跃的移动，但是在多数应用程序中，缓慢的移动或未知的初始状态比较可取。

Resetting the center position can create a jump movement upon tilt past a threshold , but is preferable in many applications to a slow drift or unknown initial state .

在仅仅知道网络结构和部分节点的输出状态的情况下（假定只有部分mRNA和蛋白质浓度的值可以观测到），通过该模型对网络中的未知参数和未知状态进行了估计。

Using this model , uncertain parameters and stated of the network are estimated requiring only network structure and partial output of some nodes ( assuming that only some of the concentrations of mRNA and protein could be observed ) .