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1·The lifting computation is rather complicated and involves the computation of the matrix exponential function and matrix integration.

提升计算包括矩阵的指数和积分运算，一般是很复杂的。

2·The procedure for calculating the exponential matrix guarantees that the simulation accuracy is not restricted by the calculating step length, then the calculating efficiency has been raised greatly.

所设计的计算矩阵指数的子程序保证了系统仿真精度不受计算步长的限制，从而大大提高了计算效率。

3·Both complex exponential form transformation and the coordinate matrix transformation are applied to the example of manipulator.

在机械手实例中，分别采用复指数变换法和坐标矩阵变换法进行求解。

4·Numerical examples show that the negative semi-definite matrix condition of exponential stability and the controller design method are feasible.

数值算例说明指数稳定的半负定矩阵条件和控制器设计方法是可行的。

5·The exponential matrix function exhibition series was applied to solve the static problem; adopt the state space iterative method was applied to solve dynamic problem.

对静力问题，将指数矩阵函数展成级数来求解；对动力问题，采用状态空间迭代法来求解。

6·In this paper, we present an algorithm to accurately compute the exponential of a triangular essentially nonnegative matrix.

本文给出了一个计算本质非负三角阵的指数函数的高精度算法。

7·With the exponential increase in the size of the IP network and the urgent demands in network management and maintenance, traffic matrix estimation has currently become an interesting topic.

随着IP网络规模指数式增长而带来的对网络管理和维护的迫切需求，流量矩阵估计已成为当前的热点研究问题。

8·A method is proposed for improving the consistency of inconsistent judgment matrix based on exponential scale, by the value of compatibility index of logarithm.

利用对数意义下的相容性指标提出了一种基于指数标度下判断矩阵的一致性调整方法，并通过算例表明该法是切实可行的。

9·The global exponential stability of a class of linear interconnected large scale systems with time delays was analyzed based on M matrix theory and by constructing a vector Lyapunov function.

利用M 矩阵理论，通过构造适当的向量李雅普诺夫函数，研究一类具有时变时间滞后的线性关联大系统的全局指数稳定性。

10·The global exponential stability of a class of linear interconnected large scale systems with time delays was analyzed based on M matrix theory and by constructing a vector Lyapunov function.

本文利用M-矩阵理论，应用微分不等式以及拓扑学等有关知识，通过构建向量李雅普诺夫函数，研究了三类时间滞后大系统的指数稳定性以及智能交通系统中车辆纵向跟随控制问题。