TY - GEN
T1 - Bayesian Framework for Optimization of Electromagnetics Problems
AU - Torun, Hakki M.
AU - Swaminathan, Madhavan
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - Increasing application scope of internet-of-things devices have resulted in strict design requirements such as compact systems and efficient power delivery architectures to reduce battery wastage. RF wireless power transfer (WPT) have shown to be promising to address these issues, but with the cost of increased design complexity. In this work, we show a Bayesian framework to address this complexity and perform system-level electromagnetic-circuit co-optimization of the WPT system.
AB - Increasing application scope of internet-of-things devices have resulted in strict design requirements such as compact systems and efficient power delivery architectures to reduce battery wastage. RF wireless power transfer (WPT) have shown to be promising to address these issues, but with the cost of increased design complexity. In this work, we show a Bayesian framework to address this complexity and perform system-level electromagnetic-circuit co-optimization of the WPT system.
UR - http://www.scopus.com/inward/record.url?scp=85062074664&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85062074664&partnerID=8YFLogxK
U2 - 10.1109/CEMI.2018.8610600
DO - 10.1109/CEMI.2018.8610600
M3 - Conference contribution
AN - SCOPUS:85062074664
T3 - CEMi 2018 - International Workshop on Computing, Electromagnetics, and Machine Intelligence
SP - 1
EP - 2
BT - CEMi 2018 - International Workshop on Computing, Electromagnetics, and Machine Intelligence
A2 - Gurel, Levent
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 International Workshop on Computing, Electromagnetics, and Machine Intelligence, CEMi 2018
Y2 - 21 November 2018 through 24 November 2018
ER -