推导出传递函数矩阵的表达式。
The representation for the transfer function matrix is derived.
给出了脉冲响应矩阵和传递函数矩阵，讨论了它们的特性。
And impulsive response matrix and transfer function matrix are defined and discussed in detail.
由混合坐标方程导出姿态动力学逆传递函数矩阵，并分析其正规性。
The inverse transfer function matrix of attitude dynamics is derived from the hybrid coordinates equations, and its normality is analyzed.
并且给出了实现某些典型输入下的最佳传递函数矩阵的鲁棒补偿器的设计方法。
Optimal transfer function matrix representation is derived. Robust compensator design for optimal transfer function matrix is also considered.
然后，利用多维拉普拉斯变换，推导出双线性系统非线性传递函数矩阵的计算公式。
Then by using multi-dimension Laplace transform, the computation formula of nonlinear transfer function matrices for MIMO bilinear system are deduced.
研究结果表明，逆传递函数矩阵可视为正规矩阵，且动力学参数的摄动不影响其正规性。
The results show that the inverse transfer function matrix is a normal matrix, and this fact is independent of the spacecraft dynamical parameters.
再根据系统的传递函数矩阵，采用PID对角矩阵解耦控制算法结合约束条件实现其解耦控制。
Then the PID diagonal matrix decoupling control algorithm was adopted in the system based on the matrix transfer function.
提出了针对一类开环传递函数矩阵对象为本质稳定及解耦后仍是本质稳定时系统的冗余设计方法。
This method is essential for the stability of a class of objects outside the loop transfer function matrix, in the decoupling both before and after decoupling is an essentially stable object.
采用函数空间的方法，利用先后两次的提升技术，构造出多采样率数字控制系统的函数空间模型和相应的脉冲传递函数矩阵模型。
A function space model and corresponding pulse transfer function matrix of multirate digital control systems are constructed by using function space method and two different lifting techniques.
INA法的基本思想是通过选择预补偿器使原系统的逆前向传递函数矩阵成为对角优势阵，从而实现各输入输出变量之间的基本解耦。
The INA's basic idea is that, through selecting pro-(compensator, ) inverse pro-transitive function matrix of previous system can be changed into diagonal preponderance matrix.
INA法的基本思想是通过选择预补偿器使原系统的逆前向传递函数矩阵成为对角优势阵，从而实现各输入输出变量之间的基本解耦。
The INA's basic idea is that, through selecting pro-(compensator, ) inverse pro-transitive function matrix of previous system can be changed into diagonal preponderance matrix.
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