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stochastic control相关的网络例句

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Detection and control of eccentricity in a cold mill based on stochastic approximation method

性质:又称大小头。化工管件之一,用于两种不同管径的联接。

A new structure of neural network control system is introduced, its availability to accomplish feedbaek linearization and pole placement in the sense of stochastic approximation is proved, and the accuracy estimate is also discussed.

提出了一种新的神经网络控制系统的结构模型,证明了在随机逼近意义下实现反馈线性化和极点配置的有效性,讨论了逼近精度估计方法;(2)。

In each period, without the knowledge of the distribution function of the time between failures and the repair time, the PA estimate of gradient of performance function is put into the stochastic approximation algorithm which recursively optimize the threshold value of the flow control model in a manufacturing system.

在分析过程中,对故障时间和工作时间的分布不做任何假设,利用自适应控制的思想,将整个样本路径依据一定的规则分成有限长的时间段,在每一段时间内用扰动分析估计目标函数的样本导数,然后用随机逼近算法渐进地估计流程控制问题中的最优阈值,从而实现了阈值的自适应控制。

The paper improves the velocity's control rules of a first-order microcosmic stochastic traffic cellular automaton model and incorporates it's stochasticity as a deceleration parameter in the construction of the fundamental diagram used by a macroscopic first-order continuum traffic model.

本文对微观一维随机元胞自动机交通流模型的速度控制规则进行了改进,并将其随机特性转化为减速参数合并到宏观一阶连续介质理论交通流模型中,重新构建了反映流量——密度的交通流基本图。

In chapter four, stochastic adaptive control of the models is presented.

第五章讨论了输出非线性模型系统的控制问题。

In this dissertation, we studied the problem of output feedback control for stochastic nonlinear systems.

本文研究了一类随机非线性系统的状态反馈和输出反馈控制器设计问题。

Therefore, investigating the stability and the control of delay stochastic systems is very important in theoretical and engineering sense.

因此,研究时滞随机系统的稳定和控制问题具有重要的理论意义和实用价值。

Stochastic optimal control is an important content of the optimization theory for uncertain systems too.

随机最优控制也是随机不确定系统优化的一个重要内容。

In the fifth chapter, we considered the problem of H〓 control for stochastic systems with time delay.

得到了小增益定理的随机形式,并据此研究了随机系统的鲁棒性和鲁棒风险灵敏度控制问题。

This paper discusses the generalization of a predictive control based on stochastic reference input.

本文讨论了随机参考输入下的广义预测控制问题,作为clarke 预测控制的改进和推广,导出了一种基于随机参考输入的广义预测控制器。

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