• 本文介绍了一种简化方法设计变量控制系统计算补偿传递矩阵补偿网络之用。

    This paper presents a simplified approach to evaluation of compensation transfer matrix and compensation network for designing multivariable control system.

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  • 非线性矩阵方程来源于控制理论梯形网络动态规划排队理论,随机过滤统计学等应用领域

    Nonlinear matrix equations arise in areas of control theory, ladder networks, dynamic programming, queueing theory, stochastic filtering and statistics.

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  • 利用李雅普诺夫函数方法线性矩阵不等式方法,给出了广义网络控制系统指数稳定充分条件

    Then, by Lyapunov function and linear matrix inequality(LMI), the sufficient conditions are given to make the singular networked control system exponentially stable.

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  • 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充分条件状态反馈控制算法

    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.

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  • 电流控制电流CCCS)存在不同支路电流之间控制行为,给该类网络节点阻抗矩阵形成带来困难

    The current of current-controlled current source (CCCS) branch is controlled by the current of another branch, which makes it difficult to build the node impedances matrix (Z-matrix).

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  • 实现网络矩阵图像自由切换控制联动入侵报警系统

    Free switch and control of network matrix and images, linkage intrusion alarm system.

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  • 线性矩阵不等式(LMI)设计系统标称部分鲁棒控制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.

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  • 针对不存在丢包和存在丢包情况通过由采样周期、被对象模型参数构造稳定性判别矩阵给出了使网络控制系统近稳定的充分条件。

    By constructing a test matrix in terms of the sampling period, the plant controlled and the model parameters, we give a sufficient condition to test the asymptotic stability for the system.

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  • 然后根据计算节点连接关系,形成总体渗流矩阵渗流控制方程就可实现三维任意结构面网络渗流计算

    Then, according to the relationships of calculating nodes, the total seepage matrix and functions can be obtained; and the seepage calculation can be completed.

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  • 然后根据计算节点连接关系,形成总体渗流矩阵渗流控制方程就可实现三维任意结构面网络渗流计算

    Then, according to the relationships of calculating nodes, the total seepage matrix and functions can be obtained; and the seepage calculation can be completed.

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