• System observability matrix was derived, and the degree of observability was calculated. Relative motion states of non-cooperative space target were estimated through unscented Kalman filter (UKF).

    通过计算系统可观测度采用无迹卡尔曼滤波(ukf)目标相对运动状态进行估计,研究了观测矢量方向和数量与相对导航精度关系。

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  • The observability of linear timeinvariant dynamic system can be obtained by the analysis of the observable matrix, but it can not give the observability.

    对于线性系统,其可观测性可通过观测矩阵分析获得不能求出系统观测度。

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  • In addition a speedy observability analysis method based on nodal adjacent matrix is put forward.

    提出一种基于节点邻接矩阵快速可观测性分析方法

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  • A new observability analysis algorithm for power system state estimation based on reduced network Jacobian matrix is proposed.

    提出了一种新的基于降阶网络雅可比矩阵电力系统状态估计可观测性分析方法

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  • The polynomial matrix criteria of controllability and observability related to such systems are presented.

    微分算子矩阵方法研究广义动态系统开端。

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  • The mathematical foundation of state space analysis method is linear algebra and matrix theory, whose essential issues are controllability and observability.

    状态空间分析方法数学基础线性代数矩阵能控性和能状态分析方法根本问题

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  • Then, navigation system observability and observable degree with different quantitative line-of-sight measurements are analyzed in detail by rank analysis of the error variance inverse matrix.

    然后通过误差方差阵逆矩阵分析比较详尽分析了不同数量视线观测条件下导航算法的可观可观性。

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  • Then, navigation system observability and observable degree with different quantitative line-of-sight measurements are analyzed in detail by rank analysis of the error variance inverse matrix.

    然后通过误差方差阵逆矩阵分析比较详尽分析了不同数量视线观测条件下导航算法的可观可观性。

    youdao

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