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.
CITATION STYLE
Yu, J., Liu, J., Xiang, L., & Zhou, J. (2016). Group consensus control in uncertain networked euler-lagrange systems based on neural network strategy. In Lecture Notes in Electrical Engineering (Vol. 360, pp. 427–434). Springer Verlag. https://doi.org/10.1007/978-3-662-48365-7_43
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