Wiener's Polynomial Chaos for the Analysis and Control of Nonlinear Dynamical Systems with Probabilistic Uncertainties

被引:73
|
作者
Kim, Kwang-Ki K.
Shen, Dongying Erin
Nagy, Zoltan K.
Braatz, Richard D.
机构
[1] Georgia Institute of Technology, Atlanta
[2] Massachusetts Institute of Technology, Cambridge
[3] Purdue University, West Lafayette
来源
IEEE CONTROL SYSTEMS MAGAZINE | 2013年 / 33卷 / 05期
关键词
LITHIUM-ION BATTERIES; WORST-CASE ANALYSIS; PARAMETER-ESTIMATION; RANDOMIZED ALGORITHMS; DESIGN OPTIMIZATION; BATCH PROCESSES; ROBUSTNESS; PROPAGATION; SENSITIVITY; STABILITY;
D O I
10.1109/MCS.2013.2270410
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
One purpose of the "Historical Perspectives" column is to look back at work done by pioneers in control and related fields that has been neglected for many years but was later revived in the control literature. This column discusses the topic of Norbert Wiener's most cited paper, which proposed polynomial chaos expansions (PCEs) as a method for probabilistic uncertainty quantification in nonlinear dynamical systems. PCEs were almost completely ignored until the turn of the new millennium, when they rather suddenly attracted a huge amount of interest in the noncontrol literature. Although the control engineering community has studied uncertain systems for decades, all but a handful of researchers in the systems and control community have ignored PCEs. The purpose of this column is to present a concise introduction to PCEs, provide an overview of the theory and applications of PCE methods in the control literature, and to consider the question of why PCEs have only recently appeared in the control literature.
引用
收藏
页码:58 / 67
页数:10
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