方法线性矩阵不等式方法。
并且通过求解线性矩阵不等式来设计切换面和控制器。
The parameters of sliding surface and controller can be solved through LMIS.
用此观测器不需要估计未知参数及求解线性矩阵不等式。
With the proposed observer, estimating the unknown parameters and solving linear matrix inequalities are not needed.
控制器的所有参数可以通过求解一组线性矩阵不等式得到。
All the parameters of the controllers can be obtained by solving a linear matrix inequality.
再用线性矩阵不等式的凸优化方法求出模糊控制器的参数。
The parameter of fuzzy controller is got by convex optimal method of LMI.
给出了线性矩阵不等式形式的稳定滑动模面存在的充分条件。
The sufficient condition for the existence of stable sliding surface was derived in terms of LMIs.
采用线性矩阵不等式方法，将问题转化为一个线性凸优化算法。
The problem is reduced to a linear convex optimization algorithm via LMI approach.
控制器的设计可以通过求解一组线性矩阵不等式(LMI)得到。
所得结果与时滞相关的，且相应的结果以线性矩阵不等式的形式给出。
The result is delay dependent and given in terms of linear matrix inequalities.
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.
给出了一种离散系统最优滤波器的线性矩阵不等式（LMI） 设计方法。
This paper studies the problem of getting the optimal unbiased filter for discrete system using the method of linear matrix inequality(LMI).
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。
Linear matrix inequalities (LMI) technique provides a new solution for multi-objective controller synthesis.
最后通过线性参变控制，获得了用有限维数线性矩阵不等式描述的充分条件。
A sufficient condition is obtained using finite dimension linear matrix inequalities (LMI) describing by linear (parameter-variety) control.
文中给出了一个例子用来说明所提出的线性矩阵不等式方法并比较文献中已有结果。
An example is given to illustrate the proposed LMI approach and to compare the obtained results with those in the literature.
采用线性矩阵不等式技术，将问题转化为一线性凸优化算法，可得问题的全局最优解。
Using the linear matrix inequality (LMI) technique, the problem is converted into a linear convex optimization algorithm so that a global optimization solution is obtained. Finally.
本文研究了出现在系统与控制理论中的一些标准的、包含线性矩阵不等式的凸优化问题。
This paper discusses problems arising in system and control theory to a few standard convex optimization problems involving linear matrix inequality (LMI).
满意控制器设计可以完全转化为线性矩阵不等式的求解问题，不需要人工干预选择参数。
The satisfactory controller design problem can be completely transformed to solution of the LMIs without manual intervening in choosing parameters.
基于线性矩阵不等式(LMI)的方法，将故障检测问题转化为系统鲁棒稳定性的分析问题。
Based on the linear matrix inequality (LMI) approach, the system fault diagnosis problem can be solved by using the systems robust stability analysis method.
应用LMI（线性矩阵不等式）方法，研究了T-S模糊系统二次稳定性及控制器设计问题。
The problem of quadratic stability and controller design for T-S fuzzy systems is studied using the linear matrix inequality(LMI)methods.
采用线性矩阵不等式和多凸性处理方法，证明了该问题等价于线性矩阵不等式的可解性问题。
In terms of multiconvexity and linear matrix inequality, this problem is proved to be equivalent to an LMI feasible problem.
近几年来，用线性矩阵不等式(LMI)检验矩阵多胞形稳定性已成为一个十分有用的工具。
In recent years, the use of LMI to check stability for polytope matrices has become a useful tool.
首先，采用模糊T-S模型来对非线性系统建模，由线性矩阵不等式得到模糊模型的控制律。
The fuzzy T-S model is used to approximate the nonlinear systems, and the fuzzy control law of the fuzzy model is derived from the linear matrix inequality.
为提高动态系统的性能，提出了一种基于线性矩阵不等式技术的鲁棒输出反馈控制器设计方法。
To enhance the performance of dynamic systems, a design method of robust output-feedback controller based on the linear matrix inequality technique was proposed.
本文针对离散区间2 - D系统的二次稳定性问题，给出了线性矩阵不等式形式的判定条件。
This paper presents a condition in terms of linear matrix inequalities (LMIs) for the quadratic stability of discrete-time interval 2-d systems.
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。
The controller to be designed is assumed to have state feedback gain variations. Design methods are presented in terms of linear matrix inequalities (LMIs).
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.
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.
提出一类基于T S模糊模型的非线性随机系统均方镇定的线性矩阵不等式(LMI)设计方法。
An LMI design method for mean square stabilization of a class of nonlinear stochastic systems based on the T-S fuzzy model is proposed.
系统与控制理论中的许多问题，都可转化为线性矩阵不等式约束的凸优化问题，从而简化其求解过程。
Many important problems of system and control theory can be reformulated as linear matrix inequality convex optimization problems, which is numerically tractable.
系统与控制理论中的许多问题，都可转化为线性矩阵不等式约束的凸优化问题，从而简化其求解过程。
Many important problems of system and control theory can be reformulated as linear matrix inequality convex optimization problems, which is numerically tractable.
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