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Spring 2020
The Event-triggered state estimation problem has been at the forefront of systems research for several decades and has seen multiple successful applications in diverse areas such as signal processing, target tracking, and navigation systems. Event-triggered state estimation offers a promising...
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Fall 2023
The increasing complexity of electric power grids, owing to the integration of Distributed Energy Resources (DER), electric vehicles, energy storage systems, and advanced metering infrastructure, has stimulated a surge in research on machine learning-based state estimation and control. In this...
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Spring 2020
Open-loop irrigation is a common practice in agriculture which leads to excessive consumption of water resources. Closed-loop is a promising alternative to reduce water consumption and to better maintain the health of crops, which requires soil moisture information of the investigated fields. An...