Adaptive Source Localization by Mobile Agents

Sandra H Dandach; Bariş Fidan; Soura Dasgupta; Brian D.O Anderson

doi:10.1109/CDC.2006.377524

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Conference proceeding

Adaptive Source Localization by Mobile Agents

Sandra H Dandach, Bariş Fidan, Soura Dasgupta and Brian D.O Anderson

Proceedings of the 45th IEEE Conference on Decision and Control, pp.2045-2050

12/2006

DOI: 10.1109/CDC.2006.377524

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Abstract

The problem of source localization has assumed increased importance in recent years. Applications include locating the source of a cellular phone signal, sensor localization or satellite localization. In this paper we formulate a continuous time adaptive localization algorithm that permits a mobile agent to estimate the location of a stationary source using only the measured distance from the source. The algorithm is shown to be exponentially asymptotically stable, under a persistent excitation condition that has an intuitively appealing interpretation. Exponential asymptotic stability indicates the ability of the algorithm to track modest movements of the source

Adaptive control

Australia Council

Collaboration

Distance measurement

Mobile agents

Pollution measurement

Position measurement

Programmable control

Time measurement

USA Councils

Details

Title: Subtitle: Adaptive Source Localization by Mobile Agents
Creators: Sandra H Dandach - University of California, Santa Barbara
Bariş Fidan - University of California, Santa Barbara
Soura Dasgupta - University of California, Santa Barbara
Brian D.O Anderson - University of California, Santa Barbara
Resource Type: Conference proceeding
Publication Details: Proceedings of the 45th IEEE Conference on Decision and Control, pp.2045-2050
DOI: 10.1109/CDC.2006.377524
ISSN: 0191-2216
Publisher: IEEE
Language: English
Date published: 12/2006
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984197293202771

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