论L2-Itô过程驱动的非飞行算子的绝对全局收敛性

L. A. D. Espinosa, W. Gray, O. González
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引用次数: 2

摘要

自20世纪70年代初以来,无飞算子一直是与作用于确定性输入的非线性系统有关的研究对象。他们用一种函数级数展开描述了一类广义的非线性输入-输出映射。但在大多数应用中,系统的输入都有噪声成分。证明了飞算子的概念可以推广到允许一类L2-Ito随机输入过程,并且它们在任意大但有限的时间区间内有条件收敛。本文的目的是证明由L2-Ito¿随机过程驱动的Fliess算子在相同条件下绝对收敛这一更为困难的命题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the absolute global convergence of fliess operators driven by L2-Itô processes
Fliess operators have been an object of study in connection with nonlinear systems acting on deterministic inputs since the early 1970's. They describe a broad class of nonlinear input-output maps using a type of functional series expansion. But in most applications, a system's inputs have noise components. It has been shown that the notion of a Fliess operator can be generalized to admit a class of L2-Ito¿ stochastic input processes, and that they converge conditionally over an arbitrarily large but finite interval of time. The purpose of this paper is to prove the more difficult proposition that Fliess operators driven by L2-Ito¿ stochastic processes converge absolutely under the same conditions.
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