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State controllability computation technique for linear time-varying systems by using Taylor series approximation

机译:基于泰勒级数逼近的线性时变系统状态可控性计算技术

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This article presents a technique to determine the controllability Grammian matrix (CGM) for linear time-varying systems by using truncated Taylor polynomial vector and the operational matrix of integration. An important property of this algorithm is that it starts by integrating the Lyapunov differential matrix equation in terms of the CGM. However, the algorithm does not use the mathematical integration processes actually, but uses the truncated Taylor polynomial vector and the operational matrix of integration. Thus, the problem is reduced to solving a linear set of algebraic equations with constant coefficients consisting of the Taylor polynomial constant coefficients of each of the CGM elements. Numerical results and error curves are given to illustrate the improvements achieved by the proposed algorithm.
机译:本文提出了一种通过使用截断的泰勒多项式向量和积分运算矩阵来确定线性时变系统的可控制性革兰氏矩阵(CGM)的技术。该算法的一个重要特性是,它首先根据CGM对Lyapunov微分矩阵方程进行积分。但是,该算法实际上并没有使用数学积分过程,而是使用了截断的泰勒多项式向量和积分运算矩阵。因此,问题被简化为求解线性方程组,其线性方程组的常数系数由每个CGM元素的泰勒多项式常数系数组成。数值结果和误差曲线给出了改进算法的改进效果。

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