DocumentCode :
3538745
Title :
Local formation control strategies with undetermined and determined formation scales for co-leader vehicle networks
Author :
Zhimin Han ; Lili Wang ; Zhiyun Lin
Author_Institution :
State Key Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China
fYear :
2013
fDate :
10-13 Dec. 2013
Firstpage :
7339
Lastpage :
7344
Abstract :
This paper studies the formation maneuvering problem, in which a group of agents achieves formations with flexible or controlled scales and follows two leaders in the network. Relative positions of neighbors are assumed to be sensed, which constitute a sensing graph, while another graph, called communication graph, exists to exchange estimate information of the leaders´s velocity. A distributed local control strategy is then proposed to achieve the desired task, in which each agent responds to nearby agents in the sensing graph for shape control and synchronizes its velocity to its neighbors in the communication graph. Moreover, suppose the scale of the desired formation is known to two leaders of the network. Then we show that the team of agents can achieve rigid formations with determined scales regulated by the two leaders. Input-to-state stability analysis is recalled to show such asymptotic behaviors.
Keywords :
asymptotic stability; directed graphs; distributed control; input-output stability; mobile robots; motion control; multi-robot systems; position control; synchronisation; velocity control; MAS; asymptotic behaviors; coleader vehicle networks; communication graph; determined formation scales; distributed local control strategy; estimate information exchange; formation maneuvering problem; input-to-state stability analysis; local formation control strategies; multiagent systems; sensing graph; shape control; undetermined formation scales; velocity synchronization; Asymptotic stability; Eigenvalues and eigenfunctions; Laplace equations; Sensors; Shape control; Synchronization; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location :
Firenze
ISSN :
0743-1546
Print_ISBN :
978-1-4673-5714-2
Type :
conf
DOI :
10.1109/CDC.2013.6761054
Filename :
6761054
Link To Document :
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