数值结果表明该耦合结构随机最优控制方法的有效性。
Numerical results illustrate the effectiveness and efficiency of the proposed stochastic optimal control method for coupled structures.
本文基于随机动态规划原理与随机平均法，提出耦合相邻高耸结构的随机最优控制方法。
In this paper, a stochastic optimal control-method for coupled adjacent high-rise structures is proposed based on the stochastic dynamical programming principle and the stochastic averaging method.
最后，选取一对梯级水库的调度问题，以随机最优控制理论和方法进行了实际求解。
Finally, one pair of cascade reservoir scheduling problem selected as an example, the practical solution is introduced by random optimal control theory and method.
采用与第三章类似的方法，我们得到了部分可观测的风险敏感最优控制问题的一般随机最大值原理。
By the similar method used in chapter 3, we get the general stochastic maximum for this kind of partially observed risk-sensitive optimal control problem.
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, 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.
本文给出了随机稳态最优控制问题的一般描述，并提出一种利用系统动态信息的随机稳态最优控制方法。
This paper gives a description of a stochastic optimisation control problem of a steady state system, and suggests a novel approach using dynamic information.
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。
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.
论述了应用随机最优控制理论的基本原理和方法，解决飞机在大气紊流中着陆的控制问题。
This paper deals with the problems of the optimal control of the airplane landing in presence of atmospheric turbulence with application of the theory and methods of random optimal control.
建立了具有随机生产费用和随机需求的连续生产存贮系统的期望值规划模型，运用动态规划方法给出了最优控制策略。
In this paper, an expected value programming model is introduced for a continuous production-inventory system with stochastic production cost and stochastic demand.
建立了具有随机生产费用和随机需求的连续生产存贮系统的期望值规划模型，运用动态规划方法给出了最优控制策略。
In this paper, an expected value programming model is introduced for a continuous production-inventory system with stochastic production cost and stochastic demand.
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