Browsing RPI Theses Open Access by Author "Wang, Meng"
Now showing items 1-7 of 7
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A statistical approach for price-optimal plugin electric vehicle charging
Delak, Serge A. (Rensselaer Polytechnic Institute, Troy, NY, 2017-05)Most of the STAT2 algorithm’s cost savings potential comes from the fact that it operates as a “bang-bang” controller operating on a volatile price signal. However, current RTM price signals do not reflect instantaneous ... -
Auction design for dynamic spectrum sharing
Khaledi, Mehrdad (Rensselaer Polytechnic Institute, Troy, NY, 2016-12)Scarcity of the wireless spectrum has become a major problem as a result of the rapid growth in wireless communications. With the proliferation of smart phones and tablets, wireless data more than doubles every year. The ... -
Compressed sensing for scalable robotic tactile skins
Hollis, Brayden (Rensselaer Polytechnic Institute, Troy, NY, 2018-05)First, we introduce the open-source tactile skin simulator BubbleTouch for generating tactile data since current tactile skin systems are not widely available to produce data for research. BubbleTouch uses kinematic and ... -
Data quality monitoring and improvement of synchronized phasor measurements
Hao, Yingshuai (Rensselaer Polytechnic Institute, Troy, NY, 2018-12)Phasor measurement units (PMU) provide time-synchronized high-resolution measurements at rates from 30 up to 120 samples per second. Since the provided synchrophasor measurements facilitate the wide-area monitoring, ... -
Machine learning strategies for power systems
Douglas, Daniel Jonathon (Rensselaer Polytechnic Institute, Troy, NY, 2021-08)As renewable energy penetration into the United States power system continues to increase, maintaining situational awareness of the complex power grid becomes increasingly challenging. Machine learning models developed ... -
Multistatic passive polarimetric radar imaging
Son, Il-Young (Rensselaer Polytechnic Institute, Troy, NY, 2018-12)This thesis studies the exploitation of polarimetric diversity in passive radar imaging. To this end, we develop a novel polarimetric data model and show that by exploiting polarimetric diversity, passive radar can better ... -
Nonconvex regularizers for sparse optimization and rank minimization
Sagan, April (Rensselaer Polytechnic Institute, Troy, NY, 2021-05)This dissertation addresses the problem of minimizing a nonconvex relaxation to the rank of a matrix. In the first of three works presented in this dissertation, we present the problem of rank minimization as a semidefinite ...