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

Lin Li, Heyang Wang
Corresponding Author
Lin Li
Available Online 1 March 2016.
consensus, multi-agent systems, adaptive protocol, dynamic output feedback, Lipschitz nonlinear
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.

© 2013, the Authors. Published by ALife Robotics Corp. Ltd.
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