Chaos is an inner stochastic motion happening in fixed non-linear dynamics system.
混沌是发生在确定性非线性动力学系统中的一种内在随机运动。
Through decoupling, the model of system had been decomposed deterministic motion and stochastic motion.
通过解耦，将系统分为确定性运动和随机运动的叠加。
Through the analysis of their probability density function and mean trajectory, it shows that this system in these two cases can occur chaotic stochastic motion.
通过概率密度函灵数及平均相轨线的分析，指出该系统在这两种情况下作所谓的混沌随机运动。
The method got global motion parameters by local motion vectors through quick M-robust estimation; these parameters are filtered to remove stochastic motion noise.
采用新的快速M鲁棒估计法获得摄像机全局运动参数集；滤波该参数集滤除随机抖动带来的运动噪声。
Stochastic models can be used to approach the motion of a singular particle in the fluid, however, it is hardly expected to elucidate the mechanism of the interaction among the solid particles.
随机模型能用于研究流动中单个颗粒的运动，但很难解释固体颗粒之间相互作用的机制。
The concept of varying-time dimension is presented and the original fractional Brownian motion model is extended to be a locally self-similarity stochastic process.
提出了时变维数的概念，对原有分数布朗运动模型加以拓展，使其成为具有局部自相似性的随机过程。
Based on the principle of Brownian motion, the ore drawn stochastic processes are analyzed and the probability density equation of loose bodies is thoroughly discussed and given in this paper.
通过对放矿随机过程的分析，提出了以布朗运动为理论基础的放矿过程散体颗粒移动的概率密度方程。
In this paper, based on the theories of stochastic control, we make a study of multivariable stochastic control methods of hydrofoil and emphasize on the analysis of longitudinal motion of it.
基于随机控制理论，针对全浸式水翼艇的多变量随机控制方法进行探讨，并着重分析水翼艇的纵向运动姿态的随机最优控制。
In this paper, the authors give a strict proof of geometric Brown motion displayed by stock prices using the methods of approximation from discrete process to continuous stochastic process.
通过由一般的离散过程逼近连续随机过程的方法，给予证券价格按有漂移率的几何布朗运动变化的一个严格的证明，并指出了股票价格过程的一般模型。
Finally, the dynamic models of the motion patterns are combined, and the effect of the stochastic wind in the environment are considered. The movement simulation of the robot is realized.
最后将弹跳、滚动和滑动运动模式有机结合，并考虑环境中随机风的作用，实现了风力驱动球形机器人的运动仿真。
The fuzzy and stochastic features a moored floating body system are described in order to deduce its fuzzy motion equations.
对系泊浮体系统的模糊随机性特征进行描述，并推导其模糊运动方程。
The parameters of random model of ground motion given in this study provide relatively reliable and accurate earthquake motion input for stochastic seismic response analysis of structures.
最后给出了规范各种工况下的地面加速度功率谱参数值，为随机抗震计算分析提供了依据。
It is noted that this is a quantum mechanical analogy of the stochastic wave motion.
指出它是随机波动过程的量子力学模拟。
Backward Stochastic Differential Equation (BSDE), Fractional Brownian Motion and Its Applications, Stochastic Control, etc.
倒向随机微分方程，分数布朗运动及其应用，随机控制等。
Backward Stochastic Differential Equation (BSDE), Fractional Brownian Motion and Its Applications, Stochastic Control, etc.
倒向随机微分方程，分数布朗运动及其应用，随机控制等。
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