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Data-driven Sparse Sensor Placement

Published in arXiv (Cornell University) • Jan 1, 2019
NobleIDNI9P09W24R17S72
Authors:
Krithika Manohar

Abstract

Sensor placement or selection is one of the most challenging unsolved problems in engineering. Optimizing sensor placement to characterize a high-dimensional system is critical for the downstream tasks of prediction, estimation, and control. The central focus of this paper is to select the best and ...

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