DocumentCode :
2249768
Title :
Distributed coordination algorithms for multiple fractional-order systems
Author :
Cao, Yongcan ; Li, Yan ; Ren, Wei ; Chen, YangQuan
Author_Institution :
Electr. & Comput. Eng. Dept., Utah State Univ., Logan, UT, USA
fYear :
2008
fDate :
9-11 Dec. 2008
Firstpage :
2920
Lastpage :
2925
Abstract :
This paper studies distributed coordination algorithms for multiple fractional-order systems over a directed communication graph. A general fractional-order consensus model is introduced by summarizing three different cases: (i) fractional-order agent dynamics with integer-order consensus algorithms, (ii) fractional-order agent dynamics with fractional-order consensus algorithms, and (iii) integer-order agent dynamics with fractional-order consensus algorithms. We show sufficient conditions on the communication graph and the fractional order such that consensus can be achieved using the general model. The consensus equilibrium is also given explicitly. In addition, we characterize the relationship between the number of agents and the fractional order to ensure consensus. Furthermore, we compare the convergence speed of consensus for fractional-order systems with that for integer-order systems. It is shown that the convergence speed of the fractional-order consensus algorithms can be improved by varying the fractional orders with time. Finally, simulation results are presented as a proof of concept.
Keywords :
convergence; directed graphs; distributed algorithms; multi-robot systems; robot dynamics; consensus equilibrium model; convergence; directed communication graph; distributed coordination algorithm; fractional-order agent dynamics; fractional-order consensus algorithm; integer-order agent dynamics; integer-order consensus algorithm; multiple fractional-order system; Communication system control; Control systems; Convergence; Fluid dynamics; Heuristic algorithms; History; Multiagent systems; Sufficient conditions; Vehicle dynamics; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2008. CDC 2008. 47th IEEE Conference on
Conference_Location :
Cancun
ISSN :
0191-2216
Print_ISBN :
978-1-4244-3123-6
Electronic_ISBN :
0191-2216
Type :
conf
DOI :
10.1109/CDC.2008.4739171
Filename :
4739171
Link To Document :
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