This paper is concerned with the stochastic control model for hitting the target at end point which is abstracted from industrial processes.
对于由一些工业过程抽象出来的终点命中问题，本文构造了一种随机控制模型。
We formulate the problem as a continuous-time stochastic control model. Through analyzing the properties of the expected value function, we derive its close-form solution.
我们将该问题描述为一个连续时间随机控制模型，通过对价值函数性质的讨论，我们给出了模型的封闭解。
A simulation model of inventory system is set up through turning the stochastic and uncontrolled demand control problem into the method of setting up safe inventory.
该文首先通过将随机的、不可控的需求控制问题转化为安全库存设置问题的方法，建立了库存系统的仿真模型。
The uncertain factors of the knowledgeable manufacturing cell were included in the task control model by utilizing a self-study method of probability distribution parameters of stochastic events.
提出了对随机事件概率分布参数进行自学习的方法，把知识化制造单元中的不确定因素纳入任务控制的数学模型。
The CARMA model generally assumed in self-tuning control frequently leads to the controlled systems lacking robustness to deterministic and non-stationary stochastic disturbances.
本文指出自校正控制中广泛采用的CARMA模型会导致控制系统对确定性扰动和非平稳随机扰动缺乏鲁棒性；
This paper proposes a new recursive estimate algorithm for unknown time-delay, orders and coefficients of linear discrete-time stochastic control systems (ARMAX model).
针对时滞、阶数和系数皆未知的离散时间线性随机控制系统（ARMAX模型），提出一种对时滞、阶数和系数同时进行递推估计的算法。
The optimal control and simulation method for systems with stochastic perturbation were investigated in the case that control effort is to be considered under internal model control (IMC) structure.
在内模控制（IMC）结构下对控制能量存在约束时一类随机摄动系统的最优控制及其仿真方法作了探讨。
Basing on analysis of TCP flow control stochastic differential equation model, this paper presents a new method to analysis queue fluctuation.
本文在分析TCP流量控制微分方程模型的基础上，提出一种新的队列波动分析方法。
Then we study model and control of single NCSs with stochastic time delays.
而后考虑了单个网络化系统（NCS）存在随机迟延问题时，系统的建模与控制问题。
In Stochastic Model Predictive Control, chance constraints are presented and the objective function is an mathematical expectation.
在随机预测控制中，约束是机会约束，目标函数是数学期望，滚动优化求解的是随机优化问题。
In Stochastic Model Predictive Control, chance constraints are presented and the objective function is an mathematical expectation.
在随机预测控制中，约束是机会约束，目标函数是数学期望，滚动优化求解的是随机优化问题。
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