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Zbl 1170.93370
Huang, Junjian; Li, Chuandong; Han, Qi
Stabilization of delayed chaotic neural networks by periodically intermittent control. (English)
[J] Circuits Syst. Signal Process. 28, No. 4, 567-579 (2009). ISSN 0278-081X

Summary: This paper studies the exponential stabilization of Delayed Chaotic Neural Networks (DCNNs) using what is called periodically intermittent control. An exponential stability criterion for the controlled neural networks, together with its simplified version, is established by using the Lyapunov function and Halanay inequality. The feasible region of control parameters is estimated in a rigorous way. Theoretical results and numerical simulations show that the continuous-time DCNN can be stabilized by intermittent feedback control with nonzero duration.

MSC 2000:: *93D21 Adaptive and robust stabilization
93C15 Control systems governed by ODE
92B20 General theory of neural networks

Keywords: delayed chaotic neural network; intermittent control; exponential stabilization; time delay

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