TY - GEN
T1 - Novel response surface methodologies with design of experiment for source localization in unknown spatial-temporal fields
AU - Liu, Zhenyi
AU - Smith, Philip
AU - Park, Trevor
AU - Trindade, A. Alexandre
AU - Hui, Qing
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014
Y1 - 2014
N2 - The spread of contaminant into the environment due to a high volume of leakage from point sources is a very real threat in the modern world. Since the contaminant can often be dangerous to human operators, multiple robotic agents equipped with suitable sensors are playing an increasingly important role in the so-called contaminant detection problem than before. This paper proposes a contaminant detection methodology which can not only locate the (possibly multiple) source of the contaminant, but also estimate the intensity in an environment evolving over both space and time. The method can deal with measurement noise and does not need any gradient information.
AB - The spread of contaminant into the environment due to a high volume of leakage from point sources is a very real threat in the modern world. Since the contaminant can often be dangerous to human operators, multiple robotic agents equipped with suitable sensors are playing an increasingly important role in the so-called contaminant detection problem than before. This paper proposes a contaminant detection methodology which can not only locate the (possibly multiple) source of the contaminant, but also estimate the intensity in an environment evolving over both space and time. The method can deal with measurement noise and does not need any gradient information.
UR - http://www.scopus.com/inward/record.url?scp=84988239548&partnerID=8YFLogxK
U2 - 10.1109/CDC.2014.7040285
DO - 10.1109/CDC.2014.7040285
M3 - Conference contribution
AN - SCOPUS:84988239548
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 5724
EP - 5729
BT - 53rd IEEE Conference on Decision and Control,CDC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 53rd IEEE Annual Conference on Decision and Control, CDC 2014
Y2 - 15 December 2014 through 17 December 2014
ER -