Time-Optimal Path Planning of Moving Sensors for Parameter Estimation of Distributed Systems

A general approach to the optimization of the observation horizon of moving sensor trajectories for parameter estimation of distributed systems is presented. Two problems are formulated here. The first consists in maximizing the determinant of the information matrix for a specified duration of obser...

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Bibliographic Details
Published inProceedings of the 44th IEEE Conference on Decision and Control pp. 5257 - 5262
Main Authors Ucinski, D., YangQuan Chen
Format Conference Proceeding
LanguageEnglish
Published IEEE 2005
Subjects
Area measurement
Atmospheric measurements
Monitoring
Optimal control
Parameter estimation
Path planning
Pollution measurement
Sea measurements
Sensor systems
State estimation
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ISBN9780780395671
0780395670
ISSN0191-2216
DOI10.1109/CDC.2005.1582997

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Summary:A general approach to the optimization of the observation horizon of moving sensor trajectories for parameter estimation of distributed systems is presented. Two problems are formulated here. The first consists in maximizing the determinant of the information matrix for a specified duration of observations and an open initial time, and the other constitutes its generalization to the case where the elapsed observation time is minimized subject to a guaranteed D-efficiency of the experiment. The approach is to convert the problem to an optimal control one in Mayer form, in which both the control forces of the sensors and the initial sensor positions are optimized in addition to the limits of the observation horizon.
ISBN:9780780395671
0780395670
ISSN:0191-2216
DOI:10.1109/CDC.2005.1582997