• The result is delay dependent and given in terms of linear matrix inequalities.

    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。

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  • All the parameters of the controllers can be obtained by solving a linear matrix inequality.

    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。

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  • A new reduced-order robust filtering method for linear system is derived based on linear matrix inequation methods.

    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。

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  • With the proposed observer, estimating the unknown parameters and solving linear matrix inequalities are not needed.

    用此观测器不需要估计未知参数及求解线性矩阵不等式。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • This paper studies the problem of getting the optimal unbiased filter for discrete system using the method of linear matrix inequality(LMI).

    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。

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  • This paper presents a condition in terms of linear matrix inequalities (LMIs) for the quadratic stability of discrete-time interval 2-d systems.

    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。

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  • A new method is presented for actuator fault detection and reconstruction based on linear matrix inequality (LMI) in the matched uncertain dynamic system.

    针对匹配不确定动态系统,提出基于LMI的执行器故障检测与重构方法。

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  • 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。

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  • A sufficient condition for quadratic stability of switched linear systems under arbitrary switching laws is presented in terms of linear matrix inequality.

    讨论了一类具有非线性摄动的线性切换系统在任意切换律下的二次鲁棒稳定性问题。

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  • 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。

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  • 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.

    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。

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  • 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。

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  • When the uncertain parameter is satisfied the generalized matching condition, the result is delay dependent and given in terms of linear matrix inequalities.

    所得结果与时滞相关,且对于不确定性参数满足广义匹配条件情形,相应结果以线性矩阵不等式的形式给出。

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  • To enhance the performance of dynamic systems, a design method of robust output-feedback controller based on the linear matrix inequality technique was proposed.

    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。

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  • 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。

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  • 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。

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  • Last the stability analysis is given by means of linear matrix inequality (LMI) approach, and the control system is guaranteed to be stable within the large range.

    使用线性矩阵不等式(LMI)方法进行了稳定性分析,保证了此控制系统的大范围稳定性。

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  • 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。

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  • The conditions of the existence of the robust controllers are given by a set of linear matrix inequalities, which facilitate the solutions of the robust controllers.

    鲁棒控制律的存在条件及设计由线性矩阵不等式描述,便于求解。

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  • 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.

    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。

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  • Then, an algorithm based on iterative linear matrix inequality (ILMI) was proposed to compute the static output feedback gain of continuous uncertain T-S closed-loop fuzzy system.

    为了计算连续不确定T - S闭环模糊系统的静态输出反馈增益,提出了基于迭代线性矩阵不等式的算法。

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  • 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.

    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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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