Details

Autor(en) / Beteiligte

• Xu, Yuhua
• Meng, Defeng
• Xie, Chengrong
• You, Guoqiao
• Zhou, Wuneng

Titel

A class of fast fixed-time synchronization control for the delayed neural network

Ist Teil von

• Journal of the Franklin Institute, 2018-01, Vol.355 (1), p.164-176

Ort / Verlag

Elmsford: Elsevier Ltd

Erscheinungsjahr

2018

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• This paper deals with the synchronization control of a class of delayed neural networks using a fast fixed-time control theory. By employing Lyapunov stability theory, a novel sufficient criterion is derived such that two neural networks can be synchronized within a fixed-time. Compared with some existing results, the proposed controller can render two neural networks faster synchronized. A numerical example is given to demonstrate the effectiveness of the criterion.