${{ \mathcal H }}_{\infty }$ synchronization of chaotic Hopfield networks with time-varying delay: a resilient DOF control approach
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Publication:5143448
DOI10.1088/1572-9494/ab5452zbMath1451.93140OpenAlexW2999929001MaRDI QIDQ5143448
Xin Huang, Youmei Zhou, Muyun Fang, Jian-Ping Zhou, Qing-Kai Kong
Publication date: 12 January 2021
Published in: Communications in Theoretical Physics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1088/1572-9494/ab5452
Neural networks for/in biological studies, artificial life and related topics (92B20) (H^infty)-control (93B36) Input-output approaches in control theory (93D25) Observers (93B53)
Related Items (6)
Pullback attractor of Hopfield neural networks with multiple time-varying delays ⋮ Sampled-data exponential synchronization of time-delay neural networks subject to random controller gain perturbations ⋮ Non-fragile \(\mathcal{L}_2 - \mathcal{L}_\infty\) filtering for a class of switched neural networks ⋮ Power law decay of stored pattern stability in sparse Hopfield neural networks ⋮ Adaptive input-to-state stable synchronization for uncertain time-delay Lur’e systems ⋮ Reliable exponential \(\mathcal{H}_\infty\) filtering for a class of switched reaction-diffusion neural networks
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