该方法设定外部干扰矩阵，基于全状态的分散，将系统干扰项考虑到反馈增益矩阵f中，用迭代方法求F阵以使闭环系统最优。
The method sets system disturbance within the feedback gain matrix f, which can be computed by iteration, in order to make the closed loop system optimum.
根据哈密尔顿系统理论，深入研究了系统特征方程的闭环极点和加权矩阵的关系，给出了希望加权矩阵的确定方法。
Based on the Hamiltonian system's theory, the relationship between closed-loop poles of system characteristic equation and weighting matrices was thoroughly investigated.
为了计算连续不确定T - S闭环模糊系统的静态输出反馈增益，提出了基于迭代线性矩阵不等式的算法。
Then, an algorithm based on iterative linear matrix inequality (ILMI) was proposed to compute the static output feedback gain of continuous uncertain T-S closed-loop fuzzy system.
在被控对象为非方阵的系统中，由于求解控制器时涉及到矩阵求伪逆问题，很大程度上增加了闭环增益成形算法的难度。
It is difficult to design the closed loop gain shaping controller when the controlled plant is not a square matrix, because it is involved in the pseudo inverse of matrix.
建立了基于自抗扰控制器的双级矩阵变换器闭环控制系统模型。
Then, the closed-loop control system model based on the ADRC is established.
利用线性矩阵不等式技术和自适应参数估计方法，设计鲁棒自适应控制器，从而保证闭环系统渐近稳定。
Based on the linear matrix inequality and adaptive approach, a state feedback adaptive controller is designed, which make the closed-loop system is asymptotically stable.
基于随机李亚普诺夫函数的方法，并结合线性矩阵不等式，分别提出依赖于模态的状态反馈和输出反馈控制，以保证相应闭环系统的严格正实性。
Based on stochastic Lyapunov functional approach, both state and output-feedback mode-dependent controllers are proposed to guarantee the strict positive realness of the resulting closed-loop systems.
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.
通过对闭环系统阶跃响应和零极点图的分析，合理的确定了系统最优反馈控制增益矩阵，最终完成了控制器的设计。
With the analysis of the step response diagram and poles diagram, the optimal state feedback array is obtained and finish designing of optimal controller of AGV.
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.
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.
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