利用线性矩阵不等式理论，给出设计满意控制器及优化采样周期的方法。
With the LMI technique, a method is proposed to design satisfactory controller and optimize the sample period.
作为大系统鲁棒滤波研究，本文利用线性矩阵不等式得到了一个新的线性系统降阶鲁棒滤波算法。
A new reduced-order robust filtering method for linear system is derived based on linear matrix inequation methods.
该方法利用线性矩阵不等式可方便地得到容错控制器设计结果，避免了现有方法需要重复试验的过程。
This method can obtain the designed result of fault-tolerant controller by using the linear matrix inequality, and avoids the iterative process of the methods in existence.
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.
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。
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.
在假设数据传输存在时延的情况下，主要利用线性矩阵不等式的方法，给出了群体达到一致性的充分条件。
Under the assumption of time-delay during data transmission, we give the sufficient condition of agents achieving consensus stability using approach of linear matrix inequalities.
利用线性矩阵不等式（LMI）给出了时滞区间广义系统广义二次能稳定的充分必要条件和控制器的构造方法。
Necessary and sufficient condition for the generalized quadratic stabilization is derived by solving LMIs, and the required state feedback controller is also constructed.
以矩形目的域为例，按满意控制的思想，利用线性矩阵不等式（LMI）技术，给出了待机控制策略求解的方法与实例。
Taking rectangular target-region as an example, a solution for opportunity-awaiting control is provided based on the theory of satisfactory control and linear matrix inequalities (LMI) approach.
利用矩阵不等式技巧，得到了一个新的具非线性时变扰动的不确定多状态时滞系统的鲁棒稳定性判据。
A new robust stability criterion for uncertain systems with multiple state-delays and nonlinear time-varying perturbations is obtained by the matrix inequality technique.
由线性矩阵不等式(LMI)设计系统标称部分的鲁棒控制器，然后利用神经网络的输出来消除系统控制输入中的不确定部分。
The robust controller is designed using linear Matrix Inequality (LMI) for the nominal linear flight system. And then, the uncertain nonlinear input term is compensated using the neural network.
利用齐次线性方程组解的理论讨论矩阵的秩，给出几个关于矩阵秩的著名不等式的证明，并证明了两个命题。
The article discusses rank of a matrix by the solution theorem of system of homogeneous linear equations, and proves several famous inequalities and two propositions on rank of a matrix.
利用李雅普诺夫函数方法和线性矩阵不等式方法，给出了广义网络控制系统指数稳定的充分条件。
Then, by Lyapunov function and linear matrix inequality(LMI), the sufficient conditions are given to make the singular networked control system exponentially stable.
利用齐次线性方程组解的理论讨论矩阵的秩，给出几个关于矩阵秩的著名不等式的证明，并证明了两个命题。
The judgment theorems for locating correctness were concluded by skillfully combining the solutions of homogenous linear equations with locating schemes.
利用系统的输入-输出研究方法，通过求解系统的线性矩阵不等式(LMI)，确定了具有饱和非线性系统的增量增益。
Through the method used to study system's input-output stability and working out the LMI problem, we can attain the incremental-gain of nonlinear system.
利用系统的输入-输出研究方法，通过求解系统的线性矩阵不等式(LMI)，确定了具有饱和非线性系统的增量增益。
Through the method used to study system's input-output stability and working out the LMI problem, we can attain the incremental-gain of nonlinear system. In this paper, two examples are given.
利用系统的输入-输出研究方法，通过求解系统的线性矩阵不等式(LMI)，确定了具有饱和非线性系统的增量增益。
Through the method used to study system's input-output stability and working out the LMI problem, we can attain the incremental-gain of nonlinear system. In this paper, two examples are given.
应用推荐