Paper
3 May 2018 Confidence regions with applications to sensing and control
Author Affiliations +
Abstract
High volume of data are becoming increasingly common for modern sensors and control systems. In this paper, we propose new techniques for constructing confidence regions based on concentration inequalities. Such confidence regions can be used to represent large volume of data with high dimensionality. Moreover, such confidence regions can be used to analyze the performance of uncertain systems under uncertainties, especially the estimation of the average overshoot, rise time and settling time which are critical specifications of a control system.
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Xinjia Chen "Confidence regions with applications to sensing and control", Proc. SPIE 10640, Unmanned Systems Technology XX, 106400T (3 May 2018); https://doi.org/10.1117/12.2300977
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Control systems

Control systems design

Sensors

Feature extraction

Integral transforms

Probability theory

Statistical analysis

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