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discrete optimal control
相关语句
  离散最优控制
     STAGEWISE SEQUENTIAL QUADRATICALPROGRAMMING METHOD FOR UNCONSTRAINEDDISCRETE OPTIMAL CONTROL PROBLEMS
     无约束离散最优控制问题分段序列二次规划方法
短句来源
     The continuous performance index is also discretized into the standard discrete form. Thus the discrete optimal controller can be designed based on the discrete optimal control theory.
     连续时间形式的性能指标也离散成标准离散形式 ,则最优控制律可按离散最优控制理论进行设计。
短句来源
  离散系统最优控制
     This paper provides a new optimal control method for orbital maintenance and maneuver,which begins with the kinetics equation of spacecraft and is based on the linear discrete optimal control theory,establishes the relative optimal control model and gives its solution.
     从航天器的轨道运动学方程出发 ,运用线性离散系统最优控制理论 ,提出了一种用于航天器轨道维持与轨道机动的最优控制方法 ,建立了相关的最优控制模型并给出了求解该模型的算法。
短句来源
     In this paper the neural network methods are proposed to solve the factorization problem, the linear two-point-boundary-value problem and the discrete optimal control problem, which are often involved in control problems. The methods have the merits of fastness, exactness and convenience of implementation by hardware.
     本文提出了控制问题中常涉及的因式分解问题、线性两端边值问题以及离散系统最优控制问题的神经元网络解法,此方法具有快速、准确、便于硬件实现等优点。
短句来源
     An iterative algorithm of dynamic integrated system optimization and parameter estimation(DISOPE) approach is presented for solving nonlinear discrete optimal control problems where the model reality differences exist.
     针对模型与实际存在一定差异的情况 ,提出了一种求解非线性离散系统最优控制的动态系统优化和参数估计集成 (DynamicIntegratedSystemOptimizationandParameterEstimation ,简称DISOPE)的研究法 .
短句来源
  “discrete optimal control”译为未确定词的双语例句
     A Linear Discrete Optimal Control Model for FHR is established by taking the ESS as a terminal condition and combining it with control constraints.
     以期望稳定状态作为终端条件,结合控制约束,建立了线性离散收获调整最优控制模型。
短句来源
     Discrete optimal control algorithm can be designed based on the augmented state system.
     则离散时滞最优控制律可以针对增广的系统进行设计。
短句来源
  相似匹配句对
     Optimal Preview Control of Linear Discrete Systems
     线性离散系统的最优预见控制
短句来源
     Optimal Control for Multiness Stochastic Discrete Systems
     乘性随机离散系统的最优控制
短句来源
     On optimal iterative learning control for discrete systems
     一类离散系统最优迭代学习控制方法
短句来源
     Optimal Control for Discrete Time Singular System
     离散广义线性系统的最优控制
短句来源
     The Parametic Design of Optimal Discrete Control Systems
     最优离散控制系统的参数化设计
短句来源
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  discrete optimal control
Approximate solution of the discrete optimal control problem
      
Approximation of discrete optimal control processes by continuous analogues
      
We include numerical experimentation on discrete optimal control problems.
      
In this paper, two successive approximation techniques are presented for a class of large-scale nonlinear programming problems with decomposable constraints and a class of high-dimensional discrete optimal control problems, respectively.
      
The proposed method extracts the optimal control results from these mappings by a systematic search, culminating in the construction of a discrete optimal control table.
      
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A procedure for the selection of sampling periods and weighting coefficients for the time-discrete optimal control of a time-continuous process is presented. The basis of the selection is:1 ) a linear time - discrete controller, 2 ) a limited range of the control variable, 3)an initial deviation which is given in accordance with the practical requirement to the control system. The performance index of the system is expressed in a time --continuous, quadratic, deviation loss function and...

A procedure for the selection of sampling periods and weighting coefficients for the time-discrete optimal control of a time-continuous process is presented. The basis of the selection is:1 ) a linear time - discrete controller, 2 ) a limited range of the control variable, 3)an initial deviation which is given in accordance with the practical requirement to the control system. The performance index of the system is expressed in a time --continuous, quadratic, deviation loss function and a similar control-loss function.Controllers parameters are computed by standard LQ -methods for different sampling periods. The control weighting coefficient in the loss function is chosen so that full use of the control range is obtained, given the initial deviation. The final sampling periods and controller parameters are selected as a compromise between the deviation loss and the control loss. The procedure is especially useful when the longest possible sampling period is required.

本文提出了在连续过程的离散最优控制中选择采样周期和加权系数的一个方法。这个选择基于:1)线性的时间离散控制器;2)控制变量的范围受到限制;3)根据对系统的实际要求给定输出量的初始偏移。系统的性能则采用时间连续的二次型输出偏移损失函数以及类似的控制损失函数来表示。对不同的采样周期,利用标准的LQ方法来计算控制器,并通过选择控制损失项的加权系数,以使得对于给定的初始偏移,允许的控制范围得到充分利用。最后的采样周期则是权衡了偏移损失和控制损失的一个折衷选择。本文介绍的方法尤其适用于需要尽可能长的采样周期的情况。

From the point of view of optimal control theory,Forest Harvesting Regulation (FHR) can be qualified as the process of carrying outoptimal control——cutting and regeneration——of a forest resource system.This paper derives the State Equation in the system by means of State Space Analysis,which indicates a feedback control of the system state.Ideal forest,the so called Normal Forest State,is only a special form of the Expected Stationary State (ESS) which is developed in this article.A Linear...

From the point of view of optimal control theory,Forest Harvesting Regulation (FHR) can be qualified as the process of carrying outoptimal control——cutting and regeneration——of a forest resource system.This paper derives the State Equation in the system by means of State Space Analysis,which indicates a feedback control of the system state.Ideal forest,the so called Normal Forest State,is only a special form of the Expected Stationary State (ESS) which is developed in this article.A Linear Discrete Optimal Control Model for FHR is established by taking the ESS as a terminal condition and combining it with control constraints.The authors discuss a method for solving the model using the Maximal Principle.Finally,the optimal control model is converted into a mathematical programming model.An example is given.

从最优控制理论的观点看,森林收获调整可认为是对森林资源系统实施最优控制(造林、采伐)的过程。作者用状态空间分析法导出了系统的状态方程,表明它是系统状态的一种反馈控制。作者提出了森林资原系统的期望稳定状态,将前人称为法正森林状态的理想森林以其特例的形式包含在其中。以期望稳定状态作为终端条件,结合控制约束,建立了线性离散收获调整最优控制模型。在讨论了极大值原理对模型的求解以后,将模型进行等价转换,化成了一个数学规划模型。用一个实例验证了模型的实用性。

In this paper the neural network methods are proposed to solve the factorization problem, the linear two-point-boundary-value problem and the discrete optimal control problem, which are often involved in control problems. The methods have the merits of fastness, exactness and convenience of implementation by hardware.

本文提出了控制问题中常涉及的因式分解问题、线性两端边值问题以及离散系统最优控制问题的神经元网络解法,此方法具有快速、准确、便于硬件实现等优点。

 
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