Title :
Distributed Coordination of Networked Fractional-Order Systems
Author :
Cao, Yongcan ; Li, Yan ; Ren, Wei ; Chen, YangQuan
Author_Institution :
Dept. of Electr. & Comput. Eng., Utah State Univ., Logan, UT, USA
fDate :
4/1/2010 12:00:00 AM
Abstract :
This paper studies the distributed coordination of networked fractional-order systems over a directed interaction graph. A general fractional-order coordination model is introduced by summarizing three different cases: 1) fractional-order agent dynamics with integer-order coordination algorithms; 2) fractional-order agent dynamics with fractional-order coordination algorithms; and 3) integer-order agent dynamics with fractional-order coordination algorithms. We show sufficient conditions on the interaction graph and the fractional order such that coordination can be achieved using the general model. The coordination equilibrium is also explicitly given. In addition, we characterize the relationship between the number of agents and the fractional order to ensure coordination. Furthermore, we compare the convergence speed of coordination for fractional-order systems with that for integer-order systems. It is shown that the convergence speed of the fractional-order coordination algorithms can be improved by varying the fractional orders with time. Finally, simulation results are presented as a proof of concept.
Keywords :
directed graphs; distributed control; multi-robot systems; robot dynamics; directed interaction graph; distributed coordination; fractional-order agent dynamics; fractional-order coordination algorithms; integer-order agent dynamics; integer-order coordination algorithms; networked fractional-order systems; Consensus; coordination; directed graph; fractional-order systems; multiagent systems;
Journal_Title :
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
DOI :
10.1109/TSMCB.2009.2024647