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Digital Model Conversion of Continuous Time Uncertain Systems

机译:连续时间不确定系统的数字模型转换

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摘要

This paper presents a mixed method consisting of the bilinear approximation and the inverse bilinear approximeation method for model conversions of a continuous time structured uncertain linear system to an equivalent discrete time structured uncertain linear model. When the radio of the uncertainties (DELTA A, DELTA B) to the nominal system parameters (A_0, B_0) and/or the sampling period (T <= 2/||A_0|| + ||DELTA A||) are sufficiently small, the linearized uncertain models can be obtained by neglecting the nonlinear uncertain term O (T~2 DELTA A DELTA B) in the state space models.
机译:本文提出了一种由双线性近似和逆双线性近似方法组成的混合方法,用于将连续时间结构不确定线性系统转换为等效离散时间结构不确定线性模型。当对标称系统参数(A_0,B_0)和/或采样周期(T <= 2 / || A_0 || + || DELTA A ||)的不确定度(DELTA A,DELTA B)的无线电波足够大时较小的线性化不确定模型可以通过忽略状态空间模型中的非线性不确定项O(T〜2 DELTA A DELTA B)来获得。

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