Distributed Synchronization Control of Multiagent Systems With Unknown Nonlinearities. Academic Article

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.

authors

• Garcia, Alfredo

published proceedings

• IEEE Trans Cybern

author list (cited authors)

• Su, S., Lin, Z., & Garcia, A.

citation count

• 68

complete list of authors

• Su, Shize||Lin, Zongli||Garcia, Alfredo

publication date

• January 2016

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE TRANSACTIONS ON CYBERNETICS  Journal

keywords

• Consensus
• Distributed Control
• Multiagent Systems
• Neural Adaptive Control
• Nonlinear Agent Dynamics
• Synchronization

Digital Object Identifier (DOI)

• 10.1109/TCYB.2015.2402192

start page

• 325

end page

• 338

volume

• 46

issue

• 1

URL

• http://dx.doi.org/10.1109/tcyb.2015.2402192