Finite-time non-fragile state estimation for discrete neural networks with sensor failures, time-varying delays and randomly occurring sensor nonlinearity

DOI10.1016/j.jfranklin.2018.10.032zbMath1406.93325OpenAlexW2906124186MaRDI QIDQ1717526

Jian-Ning Li, Zhu-Jian Li, Lin-Sheng Li, Yu-Fei Xu, Wen-Dong Bao

Publication date: 6 February 2019

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2018.10.032

zbMATH Keywords

time-varying delaysdiscrete neural networksfinite-time state estimationnonlinear stochastic singular delayed system

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Nonlinear systems in control theory (93C10) Estimation and detection in stochastic control theory (93E10) Stochastic stability in control theory (93E15) Stochastic systems in control theory (general) (93E03)

Related Items (3)

Adaptive event‐triggered H∞ state estimation of semi‐Markovian jump neural networks with randomly occurred sensor nonlinearity ⋮ Distributed fault diagnosis of networked dynamical systems with time-varying topology ⋮ Extended dissipative asynchronous filtering for T-S fuzzy switched systems with partial transition descriptions and incomplete measurements

Cites Work

• Stochastic sampled-data control for state estimation of time-varying delayed neural networks
• Asynchronous \(l_2-l_{\infty}\) filtering for discrete-time stochastic Markov jump systems with randomly occurred sensor nonlinearities
• Mean-square exponential stability and stabilisation of stochastic singular systems with multiple time-varying delays
• Singular control systems
• State estimation and sliding mode control for semi-Markovian jump systems with mismatched uncertainties
• Global asymptotic stability of a class of dynamical neural networks
• Stability analysis of delayed neural networks
• Linear Matrix Inequalities in System and Control Theory
• Less conservative robust stability criteria for uncertain discrete stochastic singular systems with time-varying delay

This page was built for publication: Finite-time non-fragile state estimation for discrete neural networks with sensor failures, time-varying delays and randomly occurring sensor nonlinearity