In this paper, we consider the issue of stability criteria for neural networks systems with variable delays. By introducing two triple integral terms and a new augmented term with more delay information to the Lyapunov-Krasovskii functional(LKF), some less conservative stability criteria are proposed. Finally, the effectiveness of the proposed results are demonstrated by two numerical examples.
['Saibing Qiu', 'Xin-Ge Liu', 'Mei-Lan Tang', 'Feng-Xian Wang', 'Yanjun Shu']
Improved conservative criteria for variable delays neural networks systems