Novel response surface methodologies with design of experiment for source localization in unknown spatial-temporal fields

Zhenyi Liu, Philip Smith, Trevor Park, A. Alexandre Trindade, Qing Hui

Research output: Contribution to journalConference article

Abstract

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.

Original languageEnglish (US)
Article number7040285
Pages (from-to)5724-5729
Number of pages6
JournalProceedings of the IEEE Conference on Decision and Control
Volume2015-February
Issue numberFebruary
DOIs
StatePublished - Jan 1 2014
Externally publishedYes
Event2014 53rd IEEE Annual Conference on Decision and Control, CDC 2014 - Los Angeles, United States
Duration: Dec 15 2014Dec 17 2014

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

Fingerprint Dive into the research topics of 'Novel response surface methodologies with design of experiment for source localization in unknown spatial-temporal fields'. Together they form a unique fingerprint.

  • Cite this