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L_1 Analysis of LTI Systems via Piecewise Higher-Order Approximation

机译:L_1通过分段高阶近似分析LTI系统

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This paper deals with the L_1 analysis of linear time-invariant (LTI) systems, by which we mean the L_∞ induced norm analysis of LTI systems. It is well known that this induced norm corresponds to the L_1 norm of the impulse response of the given system, i.e., integral of the absolute value of the kernel function in the convolution formula for the input/output relation. However, because it is very hard to compute this integral exactly or even approximately with explicit upper and lower bounds, the ideas of piecewise constant and piecewise linear approximations have been developed to compute upper and lower bounds of the L_∞ -induced norm in our preceding study. These ideas are introduced through fastlifting, by which the interval [0, h) with a sufficiently large h is divided into M subintervals with an equal width, and it is shown that the approximation errors in piecewise constant or piecewise linear approximation converge to 0 at the rate of 1/M or 1/M~2, respectively. Motivated by the success of the L_∞-induced norm analysis in that study, this paper aims at developing extended schemes named piecewise quadratic and piecewise cubic approximations. These approximations are also developed through fast-lifting, and it is shown that the piecewise quadratic and piecewise cubic approximation leads to approximation errors converging to 0 at the rate of 1/M~3 and 1/M~4, respectively.
机译:本文涉及线性时间不变(LTI)系统的L_1分析,指示L_1诱导LTI系统的规范分析。众所周知,该诱发的标准对应于给定系统的脉冲响应的L_1标准,即输入/输出关系的卷积公式中内核函数的绝对值的积分。但是,由于非常困难地计算到明确的上限和下限的完全甚至大致,所以已经开发了分段恒定和分段线性近似的思想,以计算我们前面的L_∞-indumed规范的上限和下限学习。这些想法通过Fast1ifting引入,通过该思想,其中具有足够大的H的间隔[0,H)被分成具有相等宽度的M个子内部,并且示出了分段常数或分段线性近似的近似误差会聚到0分别为1 / m或1 / m〜2的速率。在该研究中,通过L_®诱导的规范分析的成功,本文旨在开发名为分段二次和分段立方近似的扩展方案。这些近似度也通过快速提升来开发,并显示分段二次和分段立方近似导致分别以1 / m〜3和1 / m〜4的速率将变为0的近似误差。

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