• 根据观测器收敛条件确定状态观测器增益矩阵

    The gain matrix of the condition monitor is determined according to the conditions of convergence of the monitor.

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  • 广义坐标基础上讨论了增益矩阵计算方法

    A method for computing the gain matrix is given based on the modal coordinate equation.

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  • 输出反馈控制器增益矩阵矩阵分解方法通过构造的。

    The gain matrices of the output feedback controller are also constructed by means of the method of matrix decomposition.

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  • 增益矩阵标准大气条件下设计通过相似理论其扩展全线

    Gain matrix K is a constant matrix design at sea-level static condition, and should be transformed to actual flight condition with similarity correction factors.

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  • 方法给出该类观测器增益矩阵特征向量矩阵参数化表达式

    This method presents the parametric expressions for the gain matrices and the left eigenvector matrix of the high-order PI observers.

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  • 提出增益矩阵修正改进型自适应滤波算法,有效地克服了滤波发散问题

    The improved adaptive filter which modifies the plus matrix is proposed here and the divergence of estimation is avoided by this approach.

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  • 提出一种基于平均信道增益矩阵分布式天线无线通信系统下行功率控制算法

    A power control algorithm for the downlink of a distributed antenna wireless communication system is proposed by the use of the average channel gain matrix.

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  • 可以适当选择位置速度加速度反馈增益矩阵,从而加快误差收敛速度

    Second, the rate of error convergence may be guaranteed rapidly by setting appropriate angular position, velocity and acceleration feedback gain Matrices;

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  • 此类系统中既有状态时滞控制时滞,且状态矩阵控制增益矩阵中均含有不确定性

    The systems have both state time delay and control time delay. And there are uncertainties in the state matrices and the control gain matrices.

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  • 方法主要优点判定过程不必事先知道观测器增益矩阵判断成功同时即可定出增益矩阵

    The main merit of the method is that the process can be carried out without knowing the gain matrix first and at the same time the gain matrix can also be determined.

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  • 模型基础泰勒级数系数调整控制功能迭代学习法律,学习增益矩阵通过LMI优化设计

    Based on the model, the Taylor series coefficients of control function are adjusted by an iterative learning law and the learning gain matrix is designed via LMI optimization.

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  • 由于需要实时计算卡尔曼滤波增益矩阵方法大大的降低运算量仍能保证较高的滤波精度。

    Since the calculation of the matrix of Kalmann filter gain is not necessary, this method does not only reduce the cost of computation, but also ensure a good fil...

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  • 进一步,在问题时,通过极小化增益矩阵元素绝对值的和,给出了求解期望低成本输出反馈控制的算法

    Then following the existing path-following method for solving BMI problem, an iterative LMI algorithm is proposed to locally search the desired output-feedback gain.

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  • 参数方法给出了该类观测器增益矩阵参数化表达式所含参数除了满足两个约束条件之外完全自由的。

    The method presents the parametric expression for the gain matrix of the high-order PI observer. The contained parameters satisfy the needs of two constraints and are completely free as well.

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  • 首先利用范数理论研究受控混沌系统收敛性,导出受控系统收敛的充分条件线性反馈增益矩阵的选取原则;

    Firstly, we use norm theory to research the controlled chaotic systems and lead to some sufficient conditions for system convergence and the choice of state feedback gain matrixes.

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  • 通过对闭环系统响应零极点分析,合理确定了系统最反馈控制增益矩阵最终完成了控制器的设计

    With the analysis of the step response diagram and poles diagram, the optimal state feedback array is obtained and finish designing of optimal controller of AGV.

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  • 研究了控制输入受限情况不确定系统滑模控制问题,其中,系统不确定性同时存在状态矩阵控制增益矩阵中。

    The problem of sliding mode control for uncertain systems subject to input constraint is considered. There exist uncertainties in state matrix and input matrix, respectively.

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  • 方法设定外部干扰矩阵,基于全状态的分散,系统干扰项考虑反馈增益矩阵f迭代方法求F阵使闭环系统最优。

    The method sets system disturbance within the feedback gain matrix f, which can be computed by iteration, in order to make the closed loop system optimum.

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  • 实时估计系统噪声方差矩阵量测噪声方差矩阵,对状态变量进行灰色聚类,并滤波矩阵增益矩阵进行实时自适应调整,计算出状态向量的递推估计值

    Based on real-time estimation of noise matrix and grey clustering of state variable, filter or gain matrix is modulated so as to get an estimation of the state vector.

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  • 设计状态反馈控制器增益也是区间矩阵

    Designed state feedback controller with gain is also interval matrix.

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  • 假定设计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).

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  • 研究了一类不确定时滞系统的保性能控制问题不确定性不仅存在系统矩阵而且存在于控制器增益中。

    The problem of guaranteed cost control for a class of uncertain time-delayed systems was addressed. The uncertainties existed both in the systematic matrix, and in the controller gain.

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  • 为了计算连续不确定T - S闭环模糊系统静态输出反馈增益提出基于迭代线性矩阵不等式算法

    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.

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  • 矩阵不等式给出了模糊反馈增益模糊观测器增益存在充分条件,并将这些条件转化线性矩阵不等式(LMI)的可性。

    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).

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  • 提出利用高斯随机分布密度函数设置稀疏阵列,在稀疏阵列得到协方差矩阵扩展后,增益有了明显提高

    This paper points out that we can use the density function of the Gaussian distribution to set a thinned array, extending the covariance matrix will advance the gain clearly.

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  • 对于轨道拦截问题给出了一种基于速度增益制导状态转移矩阵精确制导方法

    In this paper, the precise initial guidance law based on velocity gain guidance and the state transition matrix for orbit interception were proposed.

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  • 提出利用高斯随机分布密度函数设置稀疏阵列,稀疏阵列得到方差矩阵扩展增益明显提高

    This paper points out that a thinned array can be set with the density function of the Gaussian distribution, after the extending of covariance matrix the gain can be increased clearly.

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  • 本文简要地介绍了不定导纳矩阵基本概念讨论了应用高频信号放大器分析方法,给出了应用实例,并得出放大器的增益输入阻抗表达式

    In this paper the concept of IAM is introduced and the method Used for analyzing H. F. small signal amplifier is discussed. The expressions of gain and input impedance of amplifier are given.

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  • 被控对象方阵系统中,由于求解控制器涉及矩阵问题,很大程度上增加闭环增益成形算法难度

    It is difficult to design the closed loop gain shaping controller when the controlled plant is not a square matrix, because it is involved in the pseudo inverse of matrix.

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  • 被控对象方阵系统中,由于求解控制器涉及矩阵问题,很大程度上增加闭环增益成形算法难度

    It is difficult to design the closed loop gain shaping controller when the controlled plant is not a square matrix, because it is involved in the pseudo inverse of matrix.

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