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Consensus of multi-agent systems with Euler-Lagrange system based on neural networks

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Indexed by:期刊论文

Date of Publication:2016-07-01

Journal:ICIC Express Letters

Included Journals:EI

Volume:10

Issue:7

Page Number:1697-1704

ISSN No.:1881803X

Abstract:In this paper, consensus problem of multi-agent systems has been considered. Each agent is an Euler-Lagrange (EL) system with an unknown nonlinear function, which is a nonlinear system. The sliding mode surface of the consensus problem of such multiagent system is designed and the stability of the augmenting error system is guaranteed by Lyapunov theory. A controller based on Neural Networks (NN) is designed to compensate the unknown nonlinear function. Combining with an adaptive control law the consensus of multiple EL systems is reached. Finally, the simulation results illustrate the effectiveness of the proposed approaches. © 2016, ICIC Express Letters Office. All rights reserved.

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