Exponential stabilization of non-autonomous delayed neural networks via Riccati equations

DOI10.1016/j.amc.2014.08.045zbMath1338.92022OpenAlexW1990111743MaRDI QIDQ295244

F. Blanchet-Sadri, M. Dambrine

Publication date: 17 June 2016

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2014.08.045

zbMATH Keywords

Lyapunov functionlinear matrix inequalitiesstabilizationneural networksmatrix Riccati equationstime-varying delays

Mathematics Subject Classification ID

Dynamical systems in biology (37N25) Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items (6)

Multiperiodicity and exponential attractivity of neural networks with mixed delays ⋮ Exponential stability of non-autonomous neural networks with heterogeneous time-varying delays and destabilizing impulses ⋮ Finite-time stability of a class of non-autonomous neural networks with heterogeneous proportional delays ⋮ Finite-time stability of linear non-autonomous systems with time-varying delays ⋮ Multistability of complex-valued neural networks with time-varying delays ⋮ Stability analysis of fractional-order complex-valued neural networks with both leakage and discrete delays

Cites Work

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