With introduction of fictitious output, the solution of output feedback gain matrix is simplified.
通过引入假象输出，简化了反馈增益阵的术解过程。
The optimal feedback gain matrix can be obtained by solving a static output feedback controller problem.
通过求解利用降维状态观测器的静态输出反馈，可得到降阶控制的最优反馈增益阵。
Optimal controller is combined of a optimal reduced order state estimator and a optimal static output feedback gain matrix.
动态反馈控制器可表示为一个最优降维状态估值器和一个最优静态反馈增益阵。
On the other hand, by prefixing some elements in the output feedback gain matrix, the casual condition of the controller is automatically satisfied.
同时通过预先固定反馈增益阵中的某些元素的方法，使得控制器满足因果约束的要求。
The constraints due to the decentralized control structure and the casual condition have posed structure constraints on the output feedback gain matrix.
由于分散控制的结构和因果约束的要求，给输出反馈矩阵加上了结构上的约束。
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.
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 advantage of the proposed method is that the stability of the reconfigured system can be guaranteed, and the algorithm for calculating the output feedback gain matrix is relatively simple.
这种方法的优点是重构系统的稳定性可得到保证，且计算输出反馈增益阵的算法相对简单。
The controller to be designed is assumed to have state feedback gain variations. Design methods are presented in terms of linear matrix inequalities (LMIs).
假定所要设计的控制器存在状态反馈增益变化，设计方法是以线性矩阵不等式组的形式给出的。
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.
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。
At meanwhile, it can be seen that different state gain matrix can be gotten by applying different solution method for a certain question of pole-placement of state feedback.
对于一个确定的状态反馈极点配置问题，当采用不同的方法去求解时，可以得到不同的状态增益阵。
Designed state feedback controller with gain is also interval matrix.
设计的状态反馈控制器，其增益也是区间矩阵。
The gain matrices of the output feedback controller are also constructed by means of the method of matrix decomposition.
的输出反馈控制器的增益矩阵的矩阵分解的方法，通过构造的。
Sufficient conditions for the existence of fuzzy state feedback gain and fuzzy observer gain are derived through the numerical solution of a set of coupled linear matrix inequalities(LMI).
用矩阵不等式给出了模糊反馈增益和模糊观测器增益的存在的充分条件，并将这些条件转化为线性矩阵不等式（LMI）的可解性。
Sufficient conditions for the existence of fuzzy state feedback gain and fuzzy observer gain are derived through the numerical solution of a set of coupled linear matrix inequalities(LMI).
用矩阵不等式给出了模糊反馈增益和模糊观测器增益的存在的充分条件，并将这些条件转化为线性矩阵不等式（LMI）的可解性。
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