Details

Autor(en) / Beteiligte

• Zhang, Guodong
• Shen, Yi

Titel

Exponential Stabilization of Memristor-based Chaotic Neural Networks with Time-Varying Delays via Intermittent Control

Ist Teil von

• IEEE transaction on neural networks and learning systems, 2015-07, Vol.26 (7), p.1431-1441

Ort / Verlag

United States: IEEE

Erscheinungsjahr

2015

Quelle

IEEE

Beschreibungen/Notizen

• This paper is concerned with the global exponential stabilization of memristor-based chaotic neural networks with both time-varying delays and general activation functions. Here, we adopt nonsmooth analysis and control theory to handle memristor-based chaotic neural networks with discontinuous right-hand side. In particular, several new sufficient conditions ensuring exponential stabilization of memristor-based chaotic neural networks are obtained via periodically intermittent control. In addition, the proposed results here are easy to verify and they also extend the earlier publications. Finally, numerical simulations illustrate the effectiveness of the obtained results.