Non-fragile \(\mathcal{L}_2 - \mathcal{L}_\infty\) filtering for a class of switched neural networks
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Publication:2661432
DOI10.1016/j.matcom.2021.01.014OpenAlexW3127387204MaRDI QIDQ2661432
Dandan Zuo, Zhen Wang, Weipeng Tai, Jian-Ping Zhou, Zu-Xing Xuan
Publication date: 7 April 2021
Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.matcom.2021.01.014
Related Items (7)
Delay-independent and dependent \(\mathcal{L}_2-\mathcal{L}_\infty\) filter design for time-delay reaction-diffusion switched Hopfield networks ⋮ Adaptive input-to-state stable synchronization for uncertain time-delay Lur’e systems ⋮ Event‐triggered quantized L2−L∞$$ {\mathfrak{L}}_2-{\mathfrak{L}}_{\infty } $$ filtering for neural networks under denial‐of‐service attacks ⋮ Event‐triggered nonfragile state estimation for delayed neural networks with additive and multiplicative gain variations ⋮ Reliable exponential \(\mathcal{H}_\infty\) filtering for a class of switched reaction-diffusion neural networks ⋮ Input-to-state stable synchronization for delayed Lurie systems via sampled-data control ⋮ Sampled-data-based exponential synchronization of switched coupled neural networks with unbounded delay
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