Adaptive control of multi-agent systems for finding peaks of unknown fields

Mahdi Jadaliha, Joonho Lee, Jongeun Choi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationASME 2010 Dynamic Systems and Control Conference, DSCC2010
Pages623-630
Number of pages8
DOIs
Publication statusPublished - 2010
EventASME 2010 Dynamic Systems and Control Conference, DSCC2010 - Cambridge, MA, United States
Duration: 2010 Sep 122010 Sep 15

Publication series

NameASME 2010 Dynamic Systems and Control Conference, DSCC2010
Volume2

Other

OtherASME 2010 Dynamic Systems and Control Conference, DSCC2010
CountryUnited States
CityCambridge, MA
Period10/9/1210/9/15

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

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