LMI based stability criterion for uncertain neutral-type neural networks with discrete and distributed delays

• Autorzy: Baskar P. , Padmanabhan S. , Syed Ali M.
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

stability analysis; neutral networks; Lyapunov method; Linear Matrix Inequality

• Wydawca: Systems Research Institute, Polish Academy of Sciences
• Czasopismo: Control and Cybernetics
• Rocznik: 2020
• Tom: Vol. 49, No. 1
• Strony: 77--97
• Opis fizyczny: Bibliogr. 36 poz.

Twórcy

autor

Baskar P.

• New Horizon College of Engineering, Marathhalli, Bangalore, 560103, India

autor

Padmanabhan S.

• RNS Institute of Technology, Channasandra, Bangalore, 560098, India

autor

Syed Ali M.

• Department of Mathematics, Thiruvalluvar University, Vellore - 632 115, Tamilnadu, India

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).