Passivity analysis of memristive neural networks with mixed time-varying delays and different state-dependent memductance functions
Jian Liu, Rui chao Xu · Advances in Difference Equations · 2016
This paper is concerned with the problem of passivity analysis for a class of memristive neural networks with mixed time-varying delays and different state-dependent memductance functions. By employing the theories of differential inclusions and set-valued maps, delay-dependent criteria in terms of linear matrix inequalities are obtained for the passivity of the memristive neural networks. Finally, numerical examples are given to illustrate the feasibility of the theoretical results.