Global dissipativity of neural networks with both variable and unbounded delays

In this paper, the dissipativity of neural networks with both variable and unbounded delays is investigated. By constructing proper Lyapunov functions and using some analytic techniques, several sufficient conditions are given to ensure the dissipativity of neural networks with both variable and unbounded delays. The results extend and improve the earlier publication. An example is given to show the effectiveness of the obtained results.