本文分析了闭环系统动态品质与线性最优控制权矩阵Q之间的内在关系，提出了一种线性最优控制系统权矩阵Q新的灵敏度选取法。
The paper analyses the relations between closed-loop system dynamic qualities and linear optimal control weighting matrix Q and offers a sensitivity method for selecting weighting matrix Q.
讨论了线性二次型最优控制理论在神经网络PID控制系统中的应用。
This paper discusses the application of linear quadratic optimal control theory in network PID control system.
对线性二次最优控制系统，给出了选择适当加权矩阵从而保证系统具有希望闭环极点的方法。
For the linear quadratic (LQ) optimal control system, a method is proposed to choose the suitable weighting matrices which make the system have desired closed loop poles.
本文通过实例介绍用MATLAB设计线性二次型最优控制问题的基本方法，并研究了参数变化对最优控制系统设计的影响。
The paper tells design method of linear quadratic optimal control applying MATLAB with practical example, and discusses parameters inserted to optimal control system.
在智能控制领域，利用PFLC设计并调试了倒立摆模糊控制系统，系统参数可由线性二次型最优控制的方法导出。
In the area of intelligent control, a fuzzy controller with PFLC for Cart and Pole control system is designed and debugged. Parameters of the system can be deduced by the theory of optimal control.
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。
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。
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.
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