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Distributed Synchronization Control of Multiagent Systems With Unknown Nonlinearities | IEEE Journals & Magazine | IEEE Xplore

Distributed Synchronization Control of Multiagent Systems With Unknown Nonlinearities


Abstract:

This paper revisits the distributed adaptive control problem for synchronization of multiagent systems where the dynamics of the agents are nonlinear, nonidentical, unkno...Show More

Abstract:

This paper revisits the distributed adaptive control problem for synchronization of multiagent systems where the dynamics of the agents are nonlinear, nonidentical, unknown, and subject to external disturbances. Two communication topologies, represented, respectively, by a fixed strongly-connected directed graph and by a switching connected undirected graph, are considered. Under both of these communication topologies, we use distributed neural networks to approximate the uncertain dynamics. Decentralized adaptive control protocols are then constructed to solve the cooperative tracker problem, the problem of synchronization of all follower agents to a leader agent. In particular, we show that, under the proposed decentralized control protocols, the synchronization errors are ultimately bounded, and their ultimate bounds can be reduced arbitrarily by choosing the control parameter appropriately. Simulation study verifies the effectiveness of our proposed protocols.
Published in: IEEE Transactions on Cybernetics ( Volume: 46, Issue: 1, January 2016)
Page(s): 325 - 338
Date of Publication: 24 February 2015

ISSN Information:

PubMed ID: 26684259

Funding Agency:


References

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