- Tytuł:
- LMI based stability criterion for uncertain neutral-type neural networks with discrete and distributed delays
- Autorzy:
-
Baskar, P.
Padmanabhan, S.
Syed Ali, M. - Powiązania:
- https://bibliotekanauki.pl/articles/2049954.pdf
- Data publikacji:
- 2020
- Wydawca:
- Polska Akademia Nauk. Instytut Badań Systemowych PAN
- Tematy:
-
stability analysis
neutral networks
Lyapunov method
Linear Matrix Inequality - Opis:
- This paper studies the problem of robust stability analysis for uncertain neutral-type neural networks with discrete and distributed delays. By constructing an appropriate Lyapunov- Krasovskii functional, new delay-dependent criteria are obtained. We utilized the free-weighting matrices approach and bounding lemmas to estimate the derivative of the Lyapunov-Krasovskii functional. The stability criterion are established in terms of linear matrix inequalities (LMIs). Finally, a numerical example is presented to illustrate the effectiveness of the proposed method.
- Źródło:
-
Control and Cybernetics; 2020, 49, 1; 77-97
0324-8569 - Pojawia się w:
- Control and Cybernetics
- Dostawca treści:
- Biblioteka Nauki
Artykuł