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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 2018
This thesis focuses on state estimation problems of cyber-physical systems to overcome the challenges brought by their features, e.g, resource limitations in sensor networks and model uncertainties due to the changes in interconnections of components. To achieve smart allocation of the scarce...