1.Department of Mathematics,Henan Institute of Science and Technology,Xinxiang,China;2.College of Mathematics and Information Science,Henan Normal University,Xinxiang,China
Abstract:
In this paper, the passivity analysis problem is investigated for uncertain neural networks with time-varying discrete and distributed delays. Based on direct delay decomposition idea and free-weighting matrix approach, several new delay-dependent passive criterions are derived in terms of linear matrix inequalities (LMIs), which can be easily checked by the Matlab LMI toolbox. Numerical examples show that the obtained results improve some existing ones.
