| Title of Article |
New Exponential Passivity Analysis of
Integro-Differential Neural Networks with
Time-Varying Delays |
| Date of Acceptance |
12 April 2020 |
| Journal |
| Title of Journal |
Thai Journal of Mathematics |
| Standard |
TCI |
| Institute of Journal |
Thai Journal of Mathematics is supported by The Mathematical Association of Thailand and Thailand Research Council and the Center for Promotion of Mathematical Research of Thailand (CEPMART). |
| ISBN/ISSN |
|
| Volume |
2020 |
| Issue |
18 |
| Month |
November |
| Year of Publication |
2020 |
| Page |
1677-1699 |
| Abstract |
This paper aims to deal with the problems of exponential stability and exponential passivity
analysis for integro-differential neural networks with time-varying delays, based on the mixed model
transformation approach. In this work, we investigate both discrete and distributed time-varying delays
for which the upper bounds are available. By constructing augments Lyapunov-Krasovskii functional and
various inequalities, the new delay-dependent criterion is established and is mathematically expressed
in terms of linear matrix inequalities (LMIs) to guarantee the exponential stability of the considered
system. Furthermore, depended on the proof for the exponential stability of the system, the constructed
delay-dependent method was derived from the exponential passivity for neural networks with mixed timevarying delays. Also, numerical examples are given to illustrate the effectiveness of the findings.
|
| Keyword |
exponential passivity; neural networks; linear matrix inequality (LMIs); distributed time-varying delay; model transformation |
| Author |
|
| Reviewing Status |
มีผู้ประเมินอิสระ |
| Status |
ตีพิมพ์แล้ว |
| Level of Publication |
นานาชาติ |
| citation |
true |
| Part of thesis |
true |
| Attach file |
|
| Citation |
0
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Publication
Journal Publication
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