Title :
Adaptive Source Localization by Mobile Agents
Author :
Sandra H. Dandach;Baris Fidan;Soura Dasgupta;Brian D. O. Anderson
Author_Institution :
Dept. of Mechanical and Environmental Engineering, University of California, Santa Barbara, CA 93106, USA. sandra@engineering.ucsb.edu
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
Keywords :
"Mobile agents","Distance measurement","Pollution measurement","Position measurement","Time measurement","Australia Council","Collaboration","USA Councils","Programmable control","Adaptive control"
Conference_Titel :
Decision and Control, 2006 45th IEEE Conference on
Print_ISBN :
1-4244-0171-2
DOI :
10.1109/CDC.2006.377524