Lag synchronization for Cohen–Grossberg neural networks with mixed time-delays via periodically intermittent control

ABSTRACT

In this paper, the exponential lag synchronization for a class of Cohen–Grossberg neural networks with discrete time-delays and distributed delays is investigated via periodically intermittent control. Some simple and useful criteria are derived by using mathematical induction method and the analysis technique which are different from the methods employed in correspondingly previous works. Finally, two examples and their numerical simulations are given to demonstrate the effectiveness of the proposed control schemes.

KEYWORDS:

• Cohen–Grossberg neural network
• exponential lag synchronization
• mixed time-delay
• periodically intermittent control

2010 AMS SUBJECT CLASSIFICATIONS:

• 82C32
• 34D06
• 93D15

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the Excellent Doctor Innovation Program of Xinjiang University [Grant No. XJUBSCX-2013006], the National Natural Science Foundations of P.R. China [Grant Nos. 61473244 and 61164004] and the Excellent Doctor Innovation Program of Xinjiang Uyghur Autonomous Region [Grant No. XJGRI2014013].