4.3 Article

Distributed Coordination of Networked Fractional-Order Systems

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSMCB.2009.2024647

Keywords

Consensus; coordination; directed graph; fractional-order systems; multiagent systems

Funding

  1. National Science Foundation [CNS-0834691]
  2. China Scholarship Council
  3. Direct For Computer & Info Scie & Enginr [1221384] Funding Source: National Science Foundation
  4. Division Of Computer and Network Systems [1221384] Funding Source: National Science Foundation
  5. Division Of Computer and Network Systems
  6. Direct For Computer & Info Scie & Enginr [0834691] Funding Source: National Science Foundation

Ask authors/readers for more resources

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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.3
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available