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Leader-based Multi-Agent Systems.

Loikits, Daniel J., II.

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Leader-based Multi-Agent Systems.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Leader-based Multi-Agent Systems./
Author:	Loikits, Daniel J., II.
Description:	47 p.
Notes:	Source: Masters Abstracts International, Volume: 55-05.
Contained By:	Masters Abstracts International55-05(E).
Subject:	Industrial engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10125840
ISBN:	9781339838984

Leader-based Multi-Agent Systems.
Loikits, Daniel J., II.

Leader-based Multi-Agent Systems. - 47 p.

Source: Masters Abstracts International, Volume: 55-05.

Thesis (M.S.)--Lehigh University, 2016.

In this thesis, we analyze multi-agent systems under the leader/follower control scheme. We take a graph-theoretic approach to defining the system which allows us to create a state-space representation of the agents. Using this model we can consider the group of agents as a linear time-invariant system under point mass dynamics. Linear control theory is used to examine the controllability of these systems. Uncontrollability from graph topology and symmetry is also explored. The process of electing both an optimal leader and set of optimal leaders to bring the agents to a consensus is investigated. Conditions of optimality require the leaders to minimize a cost function while simultaneously leading to a controllable network. At the end, we decompose the cost index in such a way as to show its relation to the underlying commutation graph of the network and the desired location of the agents. Finally, we demonstrate how varying the weights and the leader configuration affects the performance of the network.

ISBN: 9781339838984Subjects--Topical Terms:

526216
Industrial engineering.

Leader-based Multi-Agent Systems.
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020 $a 9781339838984
035 $a (MiAaPQ)AAI10125840
035 $a AAI10125840
040 $a MiAaPQ $c MiAaPQ
100 1 $a Loikits, Daniel J., II. $3 3193967
245 1 0 $a Leader-based Multi-Agent Systems.
300 $a 47 p.
500 $a Source: Masters Abstracts International, Volume: 55-05.
500 $a Advisers: Nader Motee; Filbert J. Bartoli.
502 $a Thesis (M.S.)--Lehigh University, 2016.
520 $a In this thesis, we analyze multi-agent systems under the leader/follower control scheme. We take a graph-theoretic approach to defining the system which allows us to create a state-space representation of the agents. Using this model we can consider the group of agents as a linear time-invariant system under point mass dynamics. Linear control theory is used to examine the controllability of these systems. Uncontrollability from graph topology and symmetry is also explored. The process of electing both an optimal leader and set of optimal leaders to bring the agents to a consensus is investigated. Conditions of optimality require the leaders to minimize a cost function while simultaneously leading to a controllable network. At the end, we decompose the cost index in such a way as to show its relation to the underlying commutation graph of the network and the desired location of the agents. Finally, we demonstrate how varying the weights and the leader configuration affects the performance of the network.
590 $a School code: 0105.
650 4 $a Industrial engineering. $3 526216
650 4 $a Systems science. $3 3168411
690 $a 0546
690 $a 0790
710 2 $a Lehigh University. $b Electrical Engineering. $3 1022507
773 0 $t Masters Abstracts International $g 55-05(E).
790 $a 0105
791 $a M.S.
792 $a 2016
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10125840