Discrete-time Chen Series for Time Discretization and Machine Learning

被引:1
|
作者
Gray, W. Steven [1 ]
Venkatesh, G. S. [1 ]
Espinosa, Luis A. Duffaut [2 ]
机构
[1] Old Dominion Univ, Dept Elect & Comp Engn, Norfolk, VA 23529 USA
[2] Univ Vermont, Dept Elect & Biomed Engn, Burlington, VT 05405 USA
基金
美国国家科学基金会;
关键词
nonlinear control systems; machine learning; discretization; formal power series; APPROXIMATION;
D O I
10.1109/ciss.2019.8692913
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页数:6
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