Exponential Stabilization of Time‐varying Delayed Complex‐valued Memristor‐based Neural Networks Via Impulsive Control

DOI10.1002/ASJC.1729zbMath1407.93313OpenAlexW2793151264WikidataQ115615312 ScholiaQ115615312MaRDI QIDQ4620393

Xiaofan Li, Jian-an Fang, Wen-Yong Duan, Hui-yuan Li

Publication date: 8 February 2019

Published in: Asian Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/asjc.1729

zbMATH Keywords

exponential stabilization impulsive control time-varying delays complex-value memristor-based neural networks

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05) Control/observation systems governed by ordinary differential equations (93C15)

Related Items (6)

Uniform exponential stabilization of distributed bilinear parabolic time delay systems with bounded feedback control ⋮ State quantized sampled-data control design for complex-valued memristive neural networks ⋮ Finite-time synchronization for a class of multiweighted complex networks with Markovian switching and time-varying delay ⋮ Weak and exponential stabilization for a semi-linear systems with discrete multi-delays ⋮ New results on synchronization of fractional-order memristor-based neural networks via state feedback control ⋮ Fuzzy Sliding Mode Control for Active Suspension System with Proportional Differential Sliding Mode Observer

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