LMI will provide consulting services in personnel, acquisition, supply chain, real property and financial management.
LMI将提供人事、采办、供应链、不动产和财务管理方面的咨询服务。
Based on the linear matrix inequality (LMI) approach, the system fault diagnosis problem can be solved by using the systems robust stability analysis method.
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。
A sufficient condition is obtained using finite dimension linear matrix inequalities (LMI) describing by linear (parameter-variety) control.
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。
Formulas of average residence time and awaiting-time are concluded and consistency between them is analyzed, and the corresponding control strategy is provided based on LMI method.
推导出平均滞留时间和待机时间的表达式，分析了相容性问题，并基于LMI方法给出了相应的控制求解策略。
This paper discusses problems arising in system and control theory to a few standard convex optimization problems involving linear matrix inequality (LMI).
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。
An example is given to illustrate the proposed LMI approach and to compare the obtained results with those in the literature.
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。
In recent years, the use of LMI to check stability for polytope matrices has become a useful tool.
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。
An LMI method for designing filters is obtained through matrixing, thus giving conveniently the expression of filter with LMI as tool kit.
通过矩阵变换得到了设计滤波器的LMI方法，利用lmi工具箱可以方便地得到滤波器的表达形式。
The problem of quadratic stability and controller design for T-S fuzzy systems is studied using the linear matrix inequality(LMI)methods.
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 robust stable bound and the state feedback controller can be obtained by solving a class of convex optimization problems with LMI constraint.
系统的稳定界和反馈控制器可以通过求解一类线性矩阵不定式约束的凸优化问题得到。
Under some conditions the guaranteed cost controllers of the systems can be obtained via LMI.
在某些条件满足的条件下，基于LMI给出了系统保代价控制器。
Based on LMI (linear matrix inequality) method and convex combination technique, the problem of robust stabilization for a class of uncertain switched systems with nonlinear disturbance is studied.
基于线性矩阵不等式(LMI)方法和凸组合技术，研究一类带有非线性扰动的不确定切换系统的鲁棒镇定问题。
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.
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。
Based on the LMI approach, give a sufficient condition for decentralized stabilization and a method for the design of corresponding controllers.
基于线性矩阵不等式(LMI)方法，给出了该系统可分散控制的充分条件及相应控制器的设计方法。
Then the paper studies the application of LMI filtering method in the flight test data processing. A new LMI robust filter is provided.
并以飞行试验数据滤波处理为例，研究了LMI滤波技术的应用，设计出了基于LMI的鲁棒滤波器。
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。
With the LMI technique, a method is proposed to design satisfactory controller and optimize the sample period.
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。
According to the related theories of LMI processing method for robust controller design, a robust output feedback controller is designed which satisfies the performance index requirements.
根据鲁棒控制器设计的LMI处理方法的相关理论，设计出满足性能指标要求的鲁棒的输出反馈控制器。
The controller can be obtained by solving a set of LMI.
控制器的设计可以通过求解一组线性矩阵不等式(LMI)得到。
This paper can serve as a reference for applying LMI in robust predictive control and carrying out robust predictive control algorithm on microcomputer.
本文可作为在鲁棒预测控制中应用lmi和用微机实现鲁棒预测控制算法的参考。
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。
In terms of multiconvexity and linear matrix inequality, this problem is proved to be equivalent to an LMI feasible problem.
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。
PI control-constraint controller design is presented on the basis of LMI.
基于LMI方法，提出一种控制受约束的PI控制器的设计方法。
Based on this, a LMI for the robust perturbation bound is obtained, and the iteration method is used to calculate the bound.
在此基础上，获得了保证系统绝对稳定的鲁棒扰动界的LMI，并给出了利用迭代法获得鲁棒扰动界的方法。
The parameter of fuzzy controller is got by convex optimal method of LMI.
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。
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.
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。
Based on LMI and delay time-derivative dependent control methods, a robust controller is designed to achieve exponential tracking stability.
本文基于线性矩阵不等式（LMI）和时延相关控制方法，设计一个控制器以实现指数稳定的跟踪控制。
The problem is reduced to a linear convex optimization algorithm via LMI approach.
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。
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。
Similarity transformation method is used to convert a bilinear matrix inequality problem into a linear matrix inequality(LMI) problem.
针对设计过程中的双线性矩阵不等式问题，采用相似变换法将其转化为线性矩阵不等式（LMI）问题。
应用推荐