Adaptive Consensus via Dynamic Feedback Control for Lipschitz Nonlinear Multi-Agent Systems

DOI

10.2991/jrnal.2016.2.4.5How to use a DOI?

Keywords

consensus, multi-agent systems, adaptive protocol, dynamic output feedback, Lipschitz nonlinear

Abstract

This paper deals with the consensus problem for multi-agent systems with fixed topologies. The agents are described by Lipschitz nonlinear systems. Only output information of each agent can be obtained from its neighbor agents. A distributed adaptive consensus algorithm via dynamic output feedback is proposed, in which the coupling weights between adjacent agents are time-varying and satisfy some designed adaptive laws. Provided examples are included to demonstrate the effectiveness of the proposed consensus algorithm.

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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TY  - JOUR
AU  - Lin Li
AU  - Heyang Wang
PY  - 2016
DA  - 2016/03/01
TI  - Adaptive Consensus via Dynamic Feedback Control for Lipschitz Nonlinear Multi-Agent Systems
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 226
EP  - 229
VL  - 2
IS  - 4
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2016.2.4.5
DO  - 10.2991/jrnal.2016.2.4.5
ID  - Li2016
ER  -