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2016 | OriginalPaper | Buchkapitel

43. Group Consensus Control in Uncertain Networked Euler-Lagrange Systems Based on Neural Network Strategy

verfasst von : Jinwei Yu, Jun Liu, Lan Xiang, Jin Zhou

Erschienen in: Proceedings of the 2015 Chinese Intelligent Systems Conference

Verlag: Springer Berlin Heidelberg

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Abstract

This paper investigates the group consensus problem for a network consisting of Euler-Lagrange systems under directed topology with acyclic partition via neural network strategy. The neural network based controller achieves group consensus for uncertain networked Euler-Lagrange systems. By exploiting thoroughly the specific structure of the network topology, the stable analysis of the group consensus problem for such uncertain networked systems is also provided. Furthermore, a necessary and sufficient condition for ensuring that the systems reach group consensus is established. Finally, examples and simulations are given to show the effectiveness of the presented theoretical results.

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Metadaten
Titel
Group Consensus Control in Uncertain Networked Euler-Lagrange Systems Based on Neural Network Strategy
verfasst von
Jinwei Yu
Jun Liu
Lan Xiang
Jin Zhou
Copyright-Jahr
2016
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-662-48365-7_43

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