A new scheme to compute the state feedback matrix is developed in this paper.
本文提出了计算状态反馈矩阵的新方法。
The pole-placement namely is to make poles of closed loop of system just at positions of a group of desirable poles by selecting state feedback matrix.
所谓极点配置就是通过反馈阵的选择，使闭环系统的极点，恰好处于所希望的一组极点的位置上。
A method for parameter optimization is presented. The minimum-norm of state feedback matrix and optimal pole assignment also are studied in this paper.
本文提出一种参数最优化的方法，对状态反馈阵最小范数问题和最优极点配置问题进行了探讨。
The practical results show that if the state feedback matrix is chosen properly, the system has good dynamic and static state performances and has robustness for parameters varying.
仿真结果表明，若适当选择状态反馈阵，则整个系统可以得到优良的动静态特性，并对参数变化具有鲁棒性。
Designing of linear optimal state feedback regulators with prescribed degree of stability is discussed and a scheme to compute the state feedback matrix using pole assignment is developed.
本文讨论了一种具有指定稳定度的线性最优状态反馈调节器的设计。
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。
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。
And by using linear matrix inequalities, it gives a design method for the guaranteed cost state feedback controller, including time-delay state in the controller.
利用线性矩阵不等式，给出了有记忆状态反馈保性能控制器的设计方法，所设计的控制器中含有状态时滞。
Choosing the proper state weight matrix Q in the LQ index by the system parameters, we can express the state feed-back solution of the LQ problem in the form of the output feedback.
根据系统参数，在二次型指标中适当选择状态加权矩阵q可以将LQ问题的状态反馈解表成输出反馈的形式。
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。
Based on this, the design of state feedback is given by matrix transform. The issue of robust BIBO stabilization for uncertain large scale systems is also addressed.
在此基础上通过矩阵分析的技巧给出了状态反馈控制器的设计方法并将其推广到系统结构中存在不确定项的情形。
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。
In this paper, the problem of state transition matrix assignment in linear state feedback systems is discussed. The general computing formula on feedback matrix is given.
本文讨论了线性状态反馈系统按转移矩阵进行配置的问题，导出了反馈矩阵的统一算式。
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.
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。
The linear matrix inequality (LMI) criterion is proposed when quadratic stability, disturbance attenuation and actuator input saturation problems are discussed through non-fragile state feedback.
时，提出二次稳定性，干扰抑制和致动器输入饱和的问题进行了讨论，通过非脆弱状态反馈线性矩阵不等式(LMI)的标准。
Sufficient conditions for robust stability of the state feedback control algorithm based on the maximum network time-delay were developed using the linear matrix inequality method.
通过设定最大网络时延，并运用矩阵不等式等方法，给出了系统鲁棒稳定的充分条件和状态反馈控制算法。
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。
Then, using liner matrix inequalitie(LMI) technology, the problem is transformed into a constraint problem and a state feedback controller designed.
采用LMI技术把此问题转变为一类采用LMI描述的约束问题，设计了状态反馈控制器；
Then, using liner matrix inequalitie(LMI) technology, the problem is transformed into a constraint problem and a state feedback controller designed.
采用LMI技术把此问题转变为一类采用LMI描述的约束问题，设计了状态反馈控制器；
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