DocumentCode :
3166265
Title :
Topological heterogeneity and optimality analysis for multiagent formation
Author :
Haopeng Zhang ; Qing Hui
Author_Institution :
Dept. of Mech. Eng., Texas Tech Univ., Lubbock, TX, USA
fYear :
2012
fDate :
10-13 Dec. 2012
Firstpage :
5954
Lastpage :
5959
Abstract :
In this paper, we extend the results of the previous paper in the 2011 American Control Conference into a more general case. In the previous literature, the topologies for the velocity and position are assumed to be the same. However, in some cases, both topologies are different, even one of them is disconnected, due to a different detection technique. Therefore in this paper, we investigate the topological heterogeneity for the formation control and synchronization protocols. The requirement of connectivity for both topologies is relaxed. Since the choice of the topology in this case is much more available than that of the connected topology, now the question is which one is the best combination of the position and velocity topologies? Here we propose an optimization problem for choosing the topology by considering the tradeoff between the communication cost and convergence rate. To solve this optimization problem numerically, an adjusted binary particle swarm optimization algorithm is developed. Finally, some simulation results are provided to verify our formation and synchronization protocols.
Keywords :
graph theory; multi-agent systems; multi-robot systems; particle swarm optimisation; position control; synchronisation; velocity control; American Control Conference; binary particle swarm optimization algorithm; communication cost; convergence rate; detection technique; formation control; multiagent formation; optimality analysis; optimization problem; position topology; synchronization protocol; topological heterogeneity; topology connectivity; velocity topology; Eigenvalues and eigenfunctions; Multiagent systems; Optimization; Protocols; Symmetric matrices; Topology; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location :
Maui, HI
ISSN :
0743-1546
Print_ISBN :
978-1-4673-2065-8
Electronic_ISBN :
0743-1546
Type :
conf
DOI :
10.1109/CDC.2012.6426167
Filename :
6426167
Link To Document :
بازگشت