TY - GEN
T1 - Adaptive control of multi-agent systems for finding peaks of unknown fields
AU - Jadaliha, Mahdi
AU - Lee, Joonho
AU - Choi, Jongeun
PY - 2010
Y1 - 2010
N2 - In this paper, we consider a deterministic adaptive control framework to design and analyze a class of multi-agent systems that locate peaks of unknown static fields in a distributed and scalable manner. Each agent is driven by swarming and gradient ascent efforts based on its own recursively estimated field via locally collected measurements by itself and its neighboring agents. The convergence properties of the proposed multi-agent systems are analyzed. We also provide a sampling scheme to facilitate the convergence. The simulation study confirms the convergence analysis of the proposed algorithms.
AB - In this paper, we consider a deterministic adaptive control framework to design and analyze a class of multi-agent systems that locate peaks of unknown static fields in a distributed and scalable manner. Each agent is driven by swarming and gradient ascent efforts based on its own recursively estimated field via locally collected measurements by itself and its neighboring agents. The convergence properties of the proposed multi-agent systems are analyzed. We also provide a sampling scheme to facilitate the convergence. The simulation study confirms the convergence analysis of the proposed algorithms.
UR - http://www.scopus.com/inward/record.url?scp=79958226272&partnerID=8YFLogxK
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U2 - 10.1115/DSCC2010-4069
DO - 10.1115/DSCC2010-4069
M3 - Conference contribution
AN - SCOPUS:79958226272
SN - 9780791844182
T3 - ASME 2010 Dynamic Systems and Control Conference, DSCC2010
SP - 623
EP - 630
BT - ASME 2010 Dynamic Systems and Control Conference, DSCC2010
T2 - ASME 2010 Dynamic Systems and Control Conference, DSCC2010
Y2 - 12 September 2010 through 15 September 2010
ER -