Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

Adaptive Global Exponential Synchronization of Moving Agent Networks with Nonlinear Coupling

Authors
Lifu Wang, Xue Peng, Ni Yang
Corresponding Author
Lifu Wang
Available Online March 2013.
DOI
10.2991/iccsee.2013.450How to use a DOI?
Keywords
complex network, exponential synchronization, moving agent, adaptive, controller, nonlinear coupling
Abstract

this paper studies the problem of synchronizing a moving agent network by decentralized adaptive control strategy. And, each agent node is assigned nonlinear connections with those of neighboring agents. The moving agent network model exhibits a time-varying topological structure in two dimensional spaces. Base on the Lyapunov stability theory, some criteria for the synchronization are achieved via adaptive control under the constraint of fast switching. To validate the proposed methods, the Lorenz chaotic system as the nodes of the networks are analyzed, and numerical simulations results show the effectiveness of proposed synchronization approaches.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
10.2991/iccsee.2013.450
ISSN
1951-6851
DOI
10.2991/iccsee.2013.450How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Lifu Wang
AU  - Xue Peng
AU  - Ni Yang
PY  - 2013/03
DA  - 2013/03
TI  - Adaptive Global Exponential Synchronization of Moving Agent Networks with Nonlinear Coupling
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 1797
EP  - 1800
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.450
DO  - 10.2991/iccsee.2013.450
ID  - Wang2013/03
ER  -