• This paper proposes a new algorithm of fault tolerant control: Minimum Variance Control on Random Parameter.

    提出了一种新的容错控制方案:随机参数最小方差控制。

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  • Using the entropy concept, a relationship between a random fuzzy parameter and an equivalent random parameter are presented.

    利用随机熵和模糊熵的概念,建立了模糊变量向等效的随机变量的转换关系。

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  • This paper presents new developments of parameter identification for MIMO discrete stochastic systems with random parameters.

    本文讨论MIMO离散系统的随机时变参数基于随机逼近法的辨识问题。

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  • Through an example, the influence of the elastic deformation and each random parameter on the mechanism reliability of motion function is analyzed.

    通过算例,分析了机构的弹性变形和各随机参数对机构运动功能可靠性的影响。

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  • Then, three safety modeling methods of human-machine system are introduced: probability logic method, Markov process method and random parameter function method.

    然后介绍了用于人机一体化系统安全性建模的三种数据方法:概率逻辑法、马尔柯夫过程法和随即参数函数法。

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  • By far, all the studies are focused on the static shortest path problems and the shortest path problems with uncertain parameter such as fuzzy or random parameters.

    到目前为止,所有这些研究都是针对静态最短路径问题以及不确定最短路径问题中具有模糊或随机参数的问题。

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  • This paper presents new development of parameter identification for MIMO discrete stochastic linear systems with random parameters based on the least squares method.

    本文讨论了参数估计和输出误差的收敛性,并给出了系统持续激励的一个充分条件。

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  • The study of statistical properties response of random parameter laminated plates plays an important role in the right estimation of the reliability of construction design.

    如何研究随机参数层合板响应的统计特性,这对正确估计结构设计的可靠性有着非常重要的意义。

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  • This paper presents new developments of parameter identification for MIMO discrete stochastic systems with random parameters. These algorithms are based on the stochastic approximation method.

    本文讨论MIMO离散系统的随机时变参数基于随机逼近法的辨识问题。

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  • At run time, parameter markers in the transactions are replaced by concrete values drawn from configurable random value distributions and input lists.

    在运行时,事务中的参数标志替换为具体的值,这些值是从可配置的随机值分布和输入列表中提取的。

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  • The application will then return a random number that's between 0 and this parameter, and return that generated number to the caller.

    然后,应用程序返回一个介于 0和该参数之间的随机数字,并将生成的数字返回给调用者。

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  • You may, however, decide that this is unnecessary and only adds more clutter to the trace output, given that you have to pass the random number as a parameter to the called programs.

    然而,您可能认为这样是不必要的,并且只会给跟踪输出添加更多混乱,因为您必须将该随机数作为一个参数传递给被调用的程序。

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  • The third parameter would allow us to override JSSE's random number generator (RNG).

    第三个参数允许我们覆盖JSSE的随机数生成器(RNG)。

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  • Based on the features of initial value sensitivity, parameter sensitivity, ergodicity and random similarity, chaotic maps are now widely used in information encryption.

    混沌映射因为初值敏感性、参数敏感性、遍历性和类随机性的特点,很适合用于信息加密。

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  • Random Numbers of GGD with any shape parameter and any variance can be generated easily by adjusting the numerical values of these parameters.

    通过调整分布参数的数值,就能产生具有任何形状参数和任何方差的GGD随机数,简单易于实现。

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  • Because random process theory is not an assumed prerequisite for this text, emphasis will be on deterministic (nonrandom) lumped parameter systems.

    因为随机过程理论并不是本课要求的先修课程,所以本课的重点将放在确定性(非随机)的分段集中参数系统上。

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  • The method of the uncertainty design using probability theory and credibility theory have been presented, which provides us with a useful modeling tool for random and epistemic parameter uncertainty.

    综合应用概率论和可信性理论对随机和可认知混合不确定性参数进行建模,提出了基于概率论和可信性理论的不确定性设计方法。

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  • 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。

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  • A general form of generating function of two parameter stationary streams of random events with independent increments is represented briefly.

    并用比较简单的方法给出二参数平稳无后效随机事件流的母函数的一般形式。

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  • The practical slope calculation parameter is random and mutant, so in slope stability it has great significance to draw the reliability theory into slope stability studying.

    实际边坡计算参数是随机的、变异的,因此在边坡稳定性研究中引入可靠性理论意义重大。

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  • A reconstructing method for random weighting approximations is proposed in approach to the distributions of the parameter estimates in general linear regression model.

    对一般线性回归模型中有关参数估计分布的模拟问题,给出一种随机加权逼近的再构造方法。

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  • The finite element method of random land subsidence and the reliability analysis of random soil parameter are furthermore researched.

    进一步研究了随机地面沉降的有限元解法及随机土参数的可靠性分析。

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  • According to random vibration theory, the concentrated parameter analysis model of INS (Inertial Navigation System) absorber for random vibration is presented.

    利用随机振动理论,建立了惯导减振系统的集中参数分析模型。

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  • This paper proposes one method of acquiring truly random bits by means of modulating the parameter of one-dimensional piecewise linear maps by arbitrarily distributed analogue random source.

    提出了一种用任意分布的模拟随机源对一维分段线性映射的参数进行调制来获得真随机比特的方法。

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  • By simulating the fuzzy random interference as a random process with a fuzzy parameter, the fuzzy random response of vibration systems of the random interference with fuzziness are analysed.

    将模糊随机干扰模拟为含模糊参数的随机过程,分析了模糊随机干扰下的振动系统的模糊随机响应。

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  • For resonators with random disturbed phase mirror, its modes are partially coherent, and there also exists a suitable parameter to get flat top beam.

    对随机微扰型位相片,输出模式是部分相干的,在合适参数下,也可得到平顶光束。

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  • This paper introduces an advanced random response model in sensitive question, and uses Bayesian methods in valuing the parameter, and finally obtains the parameter approximation.

    文章介绍了一种改进的敏感性问题随机化回答模型,并把贝叶斯方法用于该模型的参数估计,最后得出了参数的近似解。

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  • The reason of the projectile dispersion is analyzed and the initial velocity and elevation Angle are taken as the initial parameter to formulate the random mathematic model.

    分析引起射弹散布的原因,选取初速和射角作为建立随机概率模型的初始参数。

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  • Moreover, the number of iterations still varies seriously for the different parameter of the model, when the same random initial guess is used.

    同一种随机初值对不同参数模型问题的迭代次数也有很大差别。

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  • Moreover, the number of iterations still varies seriously for the different parameter of the model, when the same random initial guess is used.

    同一种随机初值对不同参数模型问题的迭代次数也有很大差别。

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