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Induced norm from L2 to L in SISO sampled-data systems

机译:SISO采样数据系统中从L 2 到L 的归纳范数

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This paper investigates the maximum amplitude (i.e., the L norm) of the output for the worst input with a unit energy (i.e., a unit L norm) in single-input/single-output (SISO) linear time-invariant (LTI) sampled-data systems, by which we mean the generalized plant and the controller are both LTI. It is known that the induced norm from L to L coincides with the H norm in SISO LTI systems. To highlight the arguments tailored to (SISO) sampled-data systems in this paper, we first see how this induced norm reduces to H norms in the continuous-time and discrete-time cases. Through the lifting-based arguments, we next give a closed-form representation of the induced norm from L to L in SISO LTI sampled-data systems. We further exploit the associated arguments to compare this induced norm with two existing definitions of the H norm for sampled-data systems, and show that the induced norm coincides with neither of them in SISO LTI sampled-data systems. We further develop a more sophisticated closed-form representation for the induced norm and give an approximate but asymptotically exact method for its computation.
机译:本文以单输入/单输出(SISO)线性时不变(LTI)中的单位能量(即单位L范数)研究最差输入的输出的最大振幅(即L范数)采样数据系统,我们的意思是广义工厂和控制器都是LTI。众所周知,从L到L的诱导范数与SISO LTI系统中的H范数一致。为了突出本文中针对(SISO)采样数据系统量身定制的参数,我们首先了解在连续时间和离散时间情况下,该归纳范数如何减少为H范数。通过基于提升的参数,我们接下来给出SISO LTI采样数据系统中从L到L的归纳范数的闭式表示。我们进一步利用相关的论点将这种归纳范数与采样数据系统的H规范的两个现有定义进行比较,并证明在SISO LTI采样数据系统中,归纳范数与它们均不重合。我们进一步为诱导范数开发了一种更复杂的封闭形式表示形式,并给出了一种近似但渐近精确的计算方法。

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