Stability and stabilization for stochastic Cohen‐Grossberg neural networks with impulse control and noise‐induced control
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Publication:4629734
DOI10.1002/rnc.4379zbMath1411.93181OpenAlexW2896555856MaRDI QIDQ4629734
Publication date: 28 March 2019
Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/rnc.4379
linear matrix inequalityLyapunov functionalsimpulse controlstochastic Cohen-Grossberg neural networkrobustly globally asymptotic stability
Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Asymptotic stability in control theory (93D20) Robust stability (93D09) Stochastic stability in control theory (93E15)
Related Items (8)
Stability of traveling waves solutions for nonlinear cellular neural networks with distributed delays ⋮ Quasi-synchronization of heterogeneous neural networks with distributed and proportional delays via impulsive control ⋮ Stability criteria of random delay differential systems subject to random impulses ⋮ Multi-periodicity of switched neural networks with time delays and periodic external inputs under stochastic disturbances ⋮ Non-fragile output-feedback control for time-delay neural networks with persistent dwell time switching: a system mode and time scheduler dual-dependent design ⋮ Controller design for fixed-time synchronization of nonlinear coupled Cohen-Grossberg neural networks with switching parameters and time-varying delays based on synchronization dynamics analysis ⋮ Inner synchronisation of stochastic impulsive multi-links coupled systems via discrete-time state observations control ⋮ Stability analysis of hybrid stochastic delayed Cohen-Grossberg neural networks with Lévy noise and Markov switching
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