Eur. Phys. J. Special Topics 228, 2111-2122 (2019)
https://doi.org/10.1140/epjst/e2019-900015-1

Regular Article

Novel criteria of ISS analysis for delayed memristive BAM neural networks

¹ School of Mathematics and Information Science, Henan Polytechnical University, Jiaozuo 454000, P.R. China
² Institute of Physics, Humboldt University, Berlin 12489, Germany
³ Potsdam Institute for Climate Impact Research, Potsdam 14473, Germany

^a e-mail: zhaoyong_54@163.com

Received: 28 January 2019
Received in final form: 1 March 2019
Published online: 14 October 2019

Abstract

In this paper, a class of delayed memristive bidirectional associative memory (BAM) are discussed. Based on system theory and nonsmooth analysis, some novel conditions are obtained to ensure the input-to-state stability (ISS) of such neural networks. Finally, an example is presented to illustrate the feasibility of our results.