Estimation of distributed processes using mobile spatially distributed sensors

In this paper we consider the problem of estimating a spatially distributed process described by a partial differential equation, which is also contaminated by a zero mean Gaussian noise. The estimation process is achieved using a set of spatially distributed mobile sensors. The objective is to prov...

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Bibliographic Details
Published in2007 American Control Conference pp. 2756 - 2761
Main Authors Hussein, I.I., Demetriou, M.A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2007
Subjects
Cities and towns
Control systems
Extraterrestrial measurements
Infrared sensors
Motion estimation
Partial differential equations
Sensor phenomena and characterization
State estimation
Temperature distribution
Time measurement
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Summary:In this paper we consider the problem of estimating a spatially distributed process described by a partial differential equation, which is also contaminated by a zero mean Gaussian noise. The estimation process is achieved using a set of spatially distributed mobile sensors. The objective is to provide sensor control policies that aim at improving the state estimate. The metric is taken to be the expected state estimation error. Using different spatial norms, two guidance policies are proposed. Simulation studies implementing and comparing the two proposed control policies are provided.
ISBN:9781424409884
1424409888
ISSN:0743-1619
2378-5861
DOI:10.1109/ACC.2007.4282288