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Skip to Search Results- 2Arefi, Afshin
- 2Bagheri, Pooya
- 2Banerjee, Bitan
- 2Barczyk, Martin
- 2Barth, Stuart E
- 2Behnam Dehkordi, Mohammad
- 19Machine Learning
- 16Glancing angle deposition
- 15Wireless communication systems.
- 13Nanotechnology
- 12FPGA
- 12MIMO
- 20Musilek, Petr (Electrical and Computer Engineering)
- 20Tellambura, Chintha (Electrical and Computer Engineering)
- 19Ardakani, Masoud (Electrical and Computer Engineering)
- 19Chen, Tongwen (Electrical and Computer Engineering)
- 19Li, Yunwei (Electrical and Computer Engineering)
- 19Reformat, Marek (Electrical and Computer Engineering)
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Spring 2019
Event-triggered control systems have emerged as an important alternative to classical digital control systems, in which the flow of information between sensors, controller and actuators takes place aperiodically in an event-based manner. Event-triggered control (ETC) has seen much attention from...
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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 2017
Home current measurement provides basic but vital information for advanced home energy monitoring and management, which is a critical enabling technology for smart homes. Accurate and easy-to-implement home current measurement can enable various smart home applications such as non-intrusive load...
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Fall 2014
This thesis focuses on event-based state estimation problems in the context of cyber-physical systems (CPSs), targeting at low-complexity event-based state estimators that are optimal in a certain sense. The motivation stems from the resource limitations in the applications of CPSs (e.g.,...
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Fall 2016
Event-triggered control have increasingly become an active area of research in the last decade, thanks to their potential capability in reducing data communication between subsystems during control action. In this research we tackle some practical problems encountered in this field and endeavor...
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Fall 2017
Weighted sum-rate and common-rate optimization problems in wireless networks can be represented as the general forms of $\max\limits{}~ \sum{i=1}^N ai\log2(1+\gamma{i})$ and $\max~ \min\limits{i} (\gamma{i})$, respectively, where $\gammai$ represents the signal to noise ratio (SNR) of user...