Improved delay-dependent criteria for uncertain neural networks with two additive time-varying delay components
Xin Wang, Kun She, Shouming Zhong, Huilan Yang · 2016
This paper investigates the issue of delay-dependent stabilization for uncertain neural networks with two additive time-varying delay components. For one thing, the important time-varying information h1(t), h2(t) and h(t) has been taken full into account. On the other hand, we take full use of the cross terms of neuron activation functions and some effective integral inequalities. Finally, less conservative delay-dependent stability conditions are derived in terms of linear matrix inequalities. Two numerical examples are given to illustrate the feasibility and effectiveness of the proposed approach.