In the classical linear quadratic problems, weighting matrices are usually choosed on trial and error to get good responses.
在传统的线性二次型问题中，一般是通过试错法选择加权矩阵来获得良好的动态响应。
The analytical relation among the weighting matrices and open loop and optimal closed-loop characteristic polynomials is derived.
推导出加权矩阵与开环、最优闭环特征多项式系数之间的解析关系式。
The design procedure is as simples as a conventional optimal regulator, but the problem of choosing weighting matrices can be avoided.
在算法上它与规范的最优调节器问题的算法一样简单、但却避免了选择加权阵的麻烦。
In order to compute the optimal weighting matrices, the formula of computing the cross-covariance matrix between local estimation errors is presented.
为了计算最优加权阵，提出了局部估计误差互协方差阵的计算公式。
In order to compute the optimal weighting matrices, the formula of computing the cross-covariance matrices among local filtering errors, is presented.
为了计算最优加权阵，提出了计算局部滤波误差互协方差阵的公式。
Based on the Hamiltonian system's theory, the relationship between closed-loop poles of system characteristic equation and weighting matrices was thoroughly investigated.
根据哈密尔顿系统理论，深入研究了系统特征方程的闭环极点和加权矩阵的关系，给出了希望加权矩阵的确定方法。
For the linear quadratic (LQ) optimal control system, a method is proposed to choose the suitable weighting matrices which make the system have desired closed loop poles.
对线性二次最优控制系统，给出了选择适当加权矩阵从而保证系统具有希望闭环极点的方法。
For the linear quadratic (LQ) optimal control system, a method is proposed to choose the suitable weighting matrices which make the system have desired closed loop poles.
对线性二次最优控制系统，给出了选择适当加权矩阵从而保证系统具有希望闭环极点的方法。
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