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- Aim To study the solving methods of linear matrix equations. 摘要目的进一步研究线性矩阵方程的解法。
- These conditions are expressed via the linear matrix inequality(LMI). 基于线性矩阵不等式(LMI)处理方法，给出了分散控制器存在的充分条件。
- A new representation formula is given for the algebraic solution of the linear matrix eqution X=EXD + F. 本文提出了一种新的关于线性矩阵方程X=EXD+F的解析算法。 该算法利于在计算机上计算。
- The sufficient condition equals to the solvability of a kind of linear matrix inequality (LMI). 此充分条件等价于一类线性矩阵不等式(LMI)的可解性。
- The explicit formula of desired controller was provided by using the solution to the linear matrix inequalities(LMI). 利用线性矩阵不等式(LMI)的解给出了控制器的设计方法。
- And the resilient controllers can be obtained by solving a set of linear matrix inequalities (LMIs). 控制器的设计可以通过求解一组线性矩阵不等式(LMI)得到。
- The condition of the stability of closed-loop system is finally listed as linear matrix inequation. 闭环系统的稳定性条件最终是以线性矩阵不等式的形式给出的。
- Firstly, a new delay-dependent passivity condition in terms of linear matrix inequality is proved. 针对标称系统，利用线性矩阵不等式给出其时滞依赖无源性条件；
- Stabilization conditions in the form of linear matrix inequality(LMI) are established. 建立了可由线性矩阵不等式(LMI)表示的镇定条件。
- Linear matrix inequalities (LMI) technique provides a new solution for multi-objective controller synthesis. 线性矩阵不等式(LMI)技术为多目标控制器的综合提供了新的解决途径。
- A new method of applying linear matrix inequalities (LMIs) tomulti-objective eigenstructure assignment is put forward. 提出了将线性矩阵不等式（LMI）技术用于多目标特征结构配置的控制器设计方法。
- Once this condition is feasible, a strict linear matrix inequality (LMI) design approach is developed with an explicit expression for decentralized state feedback controller. 当这组条件可解时，给出了分散状态反馈控制器的严格线性矩阵不等式设计方法和控制律的表达式。
- On each stage, groups of variables were fixed alternately at the iterations to reduce the NMI to linear matrix inequalities (LMIs). 在每一阶段,每一次迭代过程中,通过交替固定NMI的一个变量,使NMI转变为线性矩阵不等式(LMI)。
- Based on the theory of linear matrix equation AX=B， a formula for solving the Liapunov matrix equation ATX+XA=-E is given. 以线性矩阵方程AX=B的理论为基础，给出李雅普诺夫矩阵方程ATX+XA=-E的求解公式.
- A dynamic feedback compensator synthesis method based on linear matrix inequalities (LMI) and internal model control (IMC) is proposed in this paper. 摘要提出了一种基于线性矩阵不等式(LMI)和内模控制(IMC)的动态反馈抗饱和补偿器的设计方法。
- By using a saturated feedback control structure, the control law is obtained by solving a linear matrix inequality (LMI) optimization problem on-line. 初始时刻优化问题的可行性保证了闭环控制系统的鲁棒稳定性。
- In addition, a sufficient condition of passivation is provided in terms of linear matrix inequalities with a concrete storage function constructed. 另一方面，将存储函数具体化，利用线性矩阵不等式，推出了广义系统无源的充分条件。
- In this paper, the robust model model predictive control system of polytopic uncertainty was studied by using linear matrix inequalities (LMI). 本文采用线性矩阵不等式(LMI)，研究多模型不确定性描述情况下的鲁棒模型预测控制问题。
- The solvable condition of this optimization problem and further the solutions are derived by employing linear matrix inequality techniques. 应用线性矩阵不等式技术，给出并证明了该解存在条件和求解方法。
- Harmonically coupled linear matrix model for harmonic analysis of TCR[J].Proceedings of the CSEE,2008,28(1):59-64(in Chinese). TCR非线性特性的线性耦合导纳矩阵模型[J].;中国电机工程学报;2008;28(1):59-64
