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Distributed adaptive fuzzy iterative learning control of coordination problems for higher order multi-agent systems.
- Source :
- International Journal of Systems Science; Jul2016, Vol. 47 Issue 10, p2318-2329, 12p
- Publication Year :
- 2016
-
Abstract
- In this paper, the adaptive fuzzy iterative learning control scheme is proposed for coordination problems ofMth order (M≥ 2) distributed multi-agent systems. Every follower agent has a higher order integrator with unknown nonlinear dynamics and input disturbance. The dynamics of the leader are a higher order nonlinear systems and only available to a portion of the follower agents. With distributed initial state learning, the unified distributed protocols combined time-domain and iteration-domain adaptive laws guarantee that the follower agents track the leader uniformly on [0,T]. Then, the proposed algorithm extends to achieve the formation control. A numerical example and a multiple robotic system are provided to demonstrate the performance of the proposed approach. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00207721
- Volume :
- 47
- Issue :
- 10
- Database :
- Complementary Index
- Journal :
- International Journal of Systems Science
- Publication Type :
- Academic Journal
- Accession number :
- 113944642
- Full Text :
- https://doi.org/10.1080/00207721.2014.993139