New passivity criteria for discrete-time neural networks with leakage and time-varying delays

DOI

10.2991/fmsmt-17.2017.254How to use a DOI?

Keywords

Passivity; Discrete-time neural networks; Leakage delay; Time-varying delay.

Abstract

In this paper, the problem of passivity of discrete-time neural networks with leakage and time-varying delays is investigated. By constructing a novel Lyapunov-Krasovskii functional and reciprocally convex method, some sufficient passivity conditions are obtained in the forms of linear matrix inequalities. In order to illustrate the effectiveness of the proposed results, a numerical example is presented.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wei Kang
AU  - Shouming Zhong
AU  - Yunli Hao
PY  - 2017/04
DA  - 2017/04
TI  - New passivity criteria for discrete-time neural networks with leakage and time-varying delays
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 1295
EP  - 1299
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.254
DO  - 10.2991/fmsmt-17.2017.254
ID  - Kang2017/04
ER  -