Discrete-time Chen Series for Time Discretization and Machine Learning

W. Gray, G. Venkatesh, L. A. D. Espinosa
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引用次数: 4

Abstract

A formal power series over a set of noncommuting indeterminants using iterated integrals as the coefficients is called a Chen series, named after the mathematician K.-T. Chen. The first goal of this paper is to give a brief overview of Chen series and their algebraic structures as a kind of reference point. The second goal is to describe its discrete-time analogue in detail and then apply the concept in two problems, the time discretization problem for nonlinear control systems and the machine learning problem for dynamical systems.
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用于时间离散化和机器学习的离散时间Chen级数
在一组不可交换的不定式上使用迭代积分作为系数的正式幂级数被称为陈级数,以数学家k - t命名。陈。本文的第一个目标是简要概述陈级数及其代数结构作为一种参考点。第二个目标是详细描述其离散时间模拟,然后将该概念应用于两个问题,非线性控制系统的时间离散化问题和动力系统的机器学习问题。
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