• 针对设计过程中的双线性矩阵不等式问题采用相似变换其转化线性矩阵不等式(LMI)问题

    Similarity transformation method is used to convert a bilinear matrix inequality problem into a linear matrix inequality(LMI) problem.

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  • 针对设计过程中的双线性矩阵不等式问题,采用相似变换将其转化线性矩阵不等式(LMI)问题

    Based on linear matrix inequality (LMI) method, Ito formula, and so on, a sufficient condition for the solvability of this problem is obtained.

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  • 满意控制器设计可以完全转化线性矩阵不等式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.

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  • 本文研究了出现系统控制理论中的一些标准的、包含线性矩阵不等式优化问题

    This paper discusses problems arising in system and control theory to a few standard convex optimization problems involving linear matrix inequality (LMI).

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  • 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.

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  • 传统采用极点配置方法自适应观测器存在区域不稳定问题针对缺陷提出了一种基于线性矩阵不等式新型观测器。

    Traditional observer that using the pole - placement technique exist the problem of unstable regions, a new observer based on linear matrix inequalities is proposed for this problem.

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  • 应用LMI线性矩阵不等式方法研究T-S模糊系统二次稳定性控制器设计问题

    The problem of quadratic stability and controller design for T-S fuzzy systems is studied using the linear matrix inequality(LMI)methods.

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  • 本文针对离散区间2 - D系统二次稳定性问题,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.

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  • 基于线性矩阵不等式(LMI)方法组合技术研究一类带有线性扰动不确定切换系统鲁棒镇定问题

    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.

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  • 时,提出二次稳定性干扰抑制致动器输入饱和问题进行了讨论,通过非脆弱状态反馈线性矩阵不等式(LMI)的标准

    The linear matrix inequality (LMI) criterion is proposed when quadratic stability, disturbance attenuation and actuator input saturation problems are discussed through non-fragile state feedback.

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  • 系统控制理论中的许多问题,都转化线性矩阵不等式约束的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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  • 采用线性矩阵不等式技术问题转化线性优化算法,可问题全局

    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.

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  • 采用线性矩阵不等式多凸处理方法,证明问题等价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.

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  • 基于线性矩阵不等式(LMI)方法,将故障检测问题转化为系统鲁棒稳定性分析问题

    By using Lyapunov functional method and linear matrix inequality (LMI) approach, the absolute stability of a general neutral type of Lurie indirect control systems was studied.

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  • 采用线性矩阵不等式方法,将问题转化为一个线性优化算法

    The problem is reduced to a linear convex optimization algorithm via LMI approach.

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  • 本文主要研究了一类同时具有时变参数不确定性外部干扰输入的离散线性系统有限时间状态稳定性问题,用线性矩阵不等式给出问题可解充分条件。

    In this paper finite-time control problem for one kind of linear discrete-time linear system subject to time-varying parametric uncertainties and exogenous disturbances is studied.

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  • 本文研究了出现系统控制理论中的一些标准的、包含线性矩阵不等式优化问题

    In this paper, a new generalized gradient projection method with inexact line search is proposed for the nonlinear optimization problem with linear constraints.

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  • 通过求解一个线性矩阵不等式约束优化问题,提出了最优化性能控制律设计方法。

    Furthermore, a convex optimization problem with LMI constraints is formulated to design the optimal guaranteed cost controllers.

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  • 最后通过线性矩阵不等式技术同步问题转化优化问题并由此在具体应用中计算合适的控制参数

    Finally, based on the LMI technique, the synchronization problem is transformed into the optimization problem, which allow us to derive a proper value of control parameter.

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  • 最后通过线性矩阵不等式技术同步问题转化优化问题并由此在具体应用中计算合适的控制参数

    Finally, based on the LMI technique, the synchronization problem is transformed into the optimization problem, which allow us to derive a proper value of control parameter.

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