Stochastic optimal control is an important branch of control theory.
随机最优控制是现代控制理论的一个重要分支。
The design of stochastic optimal controllers of networked control systems with output feedback is also presented.
讨论了网络控制系统在输出反馈情况下随机最优控制器的设计；
This will provid some references for choosing weighting matrix in stochastic optimal control for rotating machinery.
这对于旋转机械系统随机最优控制中权矩阵的选择具有一定的参考价值。
In chapter 3, the stochastic averaging method of energy envelope and stochastic optimal control strategy are introduced.
第三章中，介绍能量包线随机平均法和随机最优控制策略。
A verification theorem for general stochastic optimal control with the state following a jump_diffusion process is showed.
证明了一个状态为跳跃扩散过程的一般最优控制问题的验证性定理。
Numerical results illustrate the effectiveness and efficiency of the proposed stochastic optimal control method for coupled structures.
数值结果表明该耦合结构随机最优控制方法的有效性。
To attenuate the vibration of a rotor system subjected to random excitation, a stochastic optimal control strategy for the vibration control was presented.
为了减小随机激励作用下转子系统的振动，提出了一种用于振动控制的随机最优控制策略。
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.
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。
A linear quadratic Gaussian (LQG) stochastic optimal control was developed for networked control systems with network-induced delays longer than a sampling period using a time-division control mode.
对于网络诱发延迟大于一个采样周期的网络化控制系统，该文研究了该系统的线性二次Gauss (LQG)随机最优控制问题，提出了一种新的分时控制模式。
For the ergodic control problem, a dynamical programming equation is established based on the stochastic dynamical programming principle and solved to yield the optimal control law.
然后基于动态规划原理建立系统的动态规划方程，求解动态规划方程得到系统的最优控制策略。
This paper discusses a class of stationary impulse stochastic control models, gives some sufficient conditions of the existence of their optimal controls.
讨论了一类脉冲型平稳随机控制模型，给出了其最佳控制存在的充分条件。
The paper explores the problem of optimal hierarchical stochastic production planning and control in agile manufacturing workshops (AMW).
研究了敏捷制造车间(AMW)中的最优递阶随机生产计划与控制问题。
By using the optimal control policy of stochastic analysis, we obtain its optimal control polices and the corresponding maximal return functions for different parameters.
利用随机分析中的最优控制理论，通过数学分析，针对不同的参数得出了不同情形下最优控制策略及相应的最大回报函数。
Some relations between the deterministic and the Stochastic systems discussed with reference to the Optimal control. Meanwhile, some applications and its recent approach are also related to.
讨论了确定性系统和随机性系统之间关于最优控制的关系，还提到了一些应用和它目前的发展趋向。
To address this inadequacy, an optimal control problem is discussed using stochastic impulse control theory to determine the optimal policy.
本文利用随机脉冲控制理论研究了在收取固定和比例交易费的市场环境下，公司如何制定其最优的财务策略。
The optimal task control strategy of manufacturing cell was obtained by the combination of the uniform technology and the stochastic dynamic programming.
结合一致化技术和随机动态规划的方法，得到了知识化制造单元的最优任务控制策略。
Relying on both stochastic calculus and optimal control theory, we obtain its explicit solution of optimal return function and corresponding singular control strategy.
利用随机积分及最优控制理论，得出了最大回报函数的显式解及相应的最优控制策略。
The optimal control problem for the discrete time stochastic singular systems with linear quadratic cost functional is discussed.
讨论广义离散随机线性系统在二次型性能指标下的最优控制问题。
The results obtained in this paper are very important for the further studies on the state estimation and optimal control of 2-D linear systems with stochastic input.
这些结果对进一步展开对随机2-D系统的状态估计，最优控制和其它方面的研究都具有重要意义。
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.
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。
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。
As a special case of partial information, the general stochastic maximum principle for this kind of fully observed risk-sensitive optimal control problem is also obtained.
作为部分可观测信息的特例，我们给出了完全可观测的风险敏感最优控制问题的一般最大值原理。
By utilizing both stochastic calculus and the classical impulse control theory, we give a set of sufficient conditions for its solution in terms of optimal return function.
利用随机博弈及可评估的结构动态规划技术，提出一种使公司及客户利益都最大的最优回报计划的设计方法。
By utilizing both stochastic calculus and the classical impulse control theory, we give a set of sufficient conditions for its solution in terms of optimal return function.
利用随机博弈及可评估的结构动态规划技术，提出一种使公司及客户利益都最大的最优回报计划的设计方法。
应用推荐