基于递归神经网络的复杂动态网络鲁棒固定控制

2014 IEEE Symposium on Computational Intelligence in Control and Automation (CICA) Pub Date : 2014-12-01 DOI:10.1109/CICA.2014.7013236

E. Sánchez, D. Rodriguez-Castellanos

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引用次数: 4

摘要

本文利用递归高阶神经网络作为未知钉住节点动态的辨识策略，提出了一种具有变化未知耦合强度的复杂网络钉住控制的新方案，并证明了该方案下的鲁棒调节行为。

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Robust pinning control of complex dynamical networks using recurrent neural networks

In this paper, using recurrent high order neural networks as an identification strategy for unknown pinned nodes dynamics, a new scheme for pinning control of complex networks with changing unknown coupling strengths is proposed and a robust regulation behavior on such scenario is demonstrated.

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来源期刊

2014 IEEE Symposium on Computational Intelligence in Control and Automation (CICA)

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