State estimation for discrete-time neural networks with time-varying delay

DOI10.1080/00207721.2010.517870zbMath1307.93413OpenAlexW1968009596MaRDI QIDQ5497356

Zheng-Guang Wu, Jian Chu, Peng Shi, Hong-Ye Su

Publication date: 4 February 2015

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2010.517870

zbMATH Keywords

exponential stabilityneural networksstate estimationlinear matrix inequality (LMI)time-varying delay

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10)

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Cites Work

• Asymptotic stability for neural networks with mixed time-delays: the discrete-time case
• Further results on state estimation for neural networks of neutral-type with time-varying delay
• Stochastic stability of uncertain Hopfield neural networks with discrete and distributed delays
• Output Feedback Stabilization for a Discrete-Time System With a Time-Varying Delay
• Synchronisation of chaotic delayed artificial neural networks: an ℍ_∞control approach
• Robust synchronisation of delayed neural networks with both linear and non-linear couplings
• Parameter-Dependent Lyapunov Functional for Stability of Time-Delay Systems With Polytopic-Type Uncertainties
• Estimates of equilibrium points and global asymptotic stability of Cohen–Grossberg neural networks with delays
• Global exponential stability analysis of delayed Cohen--Grossberg neural networks with distributed delays
• Impulsive effect on global exponential stability of BAM fuzzy cellular neural networks with time-varying delays

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