Groundwater system is an intricate and stochastic system.
地下水系统是一个复杂的随机系统。
It has broken down the impassable barrier between the deterministic system and the stochastic system.
它打破了确定性与随机性之间不可逾越的界限。
Power system load forecasting using stochastic system state model identification technique is proposed.
本文将随机系统状态模型辨识技术用于电力系统负荷预报。
Finally, a synthesis method for recursive parameter estimation of a stochastic system is also discussed.
最后讨论了随机系统参数递推估算的综合方法。
A simplified on-line multivariable stochastic system state model parameters estimation algorithm is developed.
本文提出了一种简化的多变量随机系统状态模型参数在线辨识方法。
Kalman filter used in linear discrete stochastic system has good convergence and the ability to remove high frequency noises.
卡尔曼滤波用于线性离散随机系统具有非常好的收敛性和滤除高频噪声的能力。
For the stochastic system with white noise input, the consistency problem of desired indices for PID controller is investigated.
针对具有随机白噪声输入的随机系统，分析了PID控制下期望指标的相容性问题。
In this paper, formulas are derived for the minimal order filter in a singular, linear time-invariant, continuous and stochastic system.
本文讨论了奇异线性定常连续随机系统最小阶滤波器的设计问题。
Forecasting research workers show solicitude for the research of forecasting method and forecasted reliability in the stochastic system.
对于新型的复杂随机系统的预测方法的研究及随机系统预测的可靠性研究是预测工作者非常关注的。
In this paper, a direct procedure for estimating the parameters of a continuous-time model of a dynamical stochastic system is presented.
本文提出一种在频率域内直接估计随机动态系统的连续时间模型参数的快速迭代算法。
A filter algorithm of bayesian state estimation using piecewise constant was proposed for a nonlinear stochastic system with white noises.
针对具有高斯噪声的非线性随机系统状态估计问题，提出了一种基于分段常值的贝叶斯状态估计滤波算法。
This paper deals with the optimal state estimation problem for the discrete stochastic system based on the innovation theory and projection method.
基于射影理论及新息分析方法，讨论离散随机线性系统最优状态估计问题。
In the theory of probability, it has already aroused more and more many people's interest to research the influence of the non-stochastic system stochastic.
在概率论中，对非随机系统的随机影响的研究已经引起了越来越多的人的兴趣。
For the stochastic system of the dynamic equation and the kinematic constraint, the upper and lower bounds on its information matrix are given, via eigenvalue analysis.
针对运动约束与运动方程构成的系统，利用特征值分析方法给出了其信息矩阵的上下界限。
The filtering methods based on information fusion estimation in linear or nonlinear systems was presented for the filtering problem in discrete dynamic stochastic system.
针对离散随机动态系统的滤波问题，提出了基于信息融合估计的线性和非线性滤波方法。
On the basis of the new mathematical description of the linear stochastic system with distributed parameter, the corresponding definition of mean-square stability is given.
基于线性随机分布参数系统新的数学描述形式，给出了相应的均方稳定定义。
Then, by introducing a corresponding Krein space stochastic system and applying projection and innovation analysis, the minimum of indefinite quadratic form and its existence condition are derived.
引入相应的格林空间随机系统，应用格林空间投影理论和新息分析方法，得到了不定二次型的最小值及其存在条件。
The computer imitating of working states for any discrete and waiting type stochastic service system is discussed.
对任意的离散型等待制随机服务系统，讨论其工作情况的计算机模拟。
Practice shows that the SPN can be made model and quantitative analysis for a stochastic process system, and it is a very useful tool in the enhaced BPN.
实践表明，SPN能为具有随机过程的系统进行建模和定量分析，是扩展的BPN中一种十分有用的分析工具．。
By using the stochastic dynamical programming principle the dynamical programming equation for minimizing the response of the system is formulated.
利用随机动态规划原理可以为系统响应最小化问题建立动态规划方程。
The system consists of six subsystems, which are human computer interface, kernel, sets theory, probability distribution, stochastic phenomena and help subsystem.
该系统包括六个子系统：人机界面、内核、集合论、概率分布、随机现象和帮助子系统。
Considering the characteristics of a nonlinear gear system with stochastic excitation, a method for analyzing the system's global initial characteristics was described.
结合随机激励下齿轮非线性系统的特点，研究了一种分析齿轮非线性随机系统的全局初值特性的方法。
This paper analyzes the basic technique of Cluster and gives a ha expressions for Cluster system by Stochastic Process Theory.
本文在研究总结现有集群计算技术的基础之上，通过随机过程理论，推导了集群系统可用度公式。
This paper focuses on bottlenecks analysis algorithm of information processing for command and control system via stochastic event graphs.
本文研究能用随机事件图模拟的指挥控制系统信息处理瓶颈的分析算法。
The key issue in stochastic subspace identification is to obtain the order of the system.
在随机子空间识别方法中，确定系统的阶数是该方法的关键工作。
In this article, Queuing theory and method is applied to modeling and optimization of a stochastic service system which consists of security equipments.
运用排队论的理论和方法对由机要保障装备构成的随机服务系统进行建模和优化。
The theory of stochastic service system and its application in port handling system is introduced in briefly.
本文简要介绍了随机服务系统理论及其在港口装卸系统中的应用。
In the view of power system operation a stochastic simulation based method of quantitatively calculating the value of wind power to power system operation is presented.
从电力系统运行的角度，提出了基于随机模拟技术的定量分析计算风力发电对电力系统运行的价值的方法。
In the view of power system operation a stochastic simulation based method of quantitatively calculating the value of wind power to power system operation is presented.
从电力系统运行的角度，提出了基于随机模拟技术的定量分析计算风力发电对电力系统运行的价值的方法。
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