Non-fragile finite-time \(l_2 - l_\infty\) state estimation for discrete-time neural networks with semi-Markovian switching and random sensor delays based on Abel lemma approach

DOI10.1016/j.nahs.2018.03.002zbMath1388.93088OpenAlexW2792335835WikidataQ124817998 ScholiaQ124817998MaRDI QIDQ1642344

Y. Aharonov

Publication date: 20 June 2018

Published in: Nonlinear Analysis. Hybrid Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.nahs.2018.03.002

zbMATH Keywords

unreliable communication channelsAbel lemma approachfinite-time \(l_2 - l_\infty\) state estimationnon-fragile estimatorsemi-Markov jump neural networks

Mathematics Subject Classification ID

Related Items (11)

Non-fragile \(\mathcal{L}_2 - \mathcal{L}_\infty\) filtering for a class of switched neural networks ⋮ On event‐triggered guaranteed cost control for discrete‐time semi‐Markovian neural networks having communication delays and dual‐terminal probabilistic faults ⋮ Dissipative consensus for two-time-scale semi-Markov jump multi-agent systems against false data injection attacks via a dynamic event-triggered scheme ⋮ Advances on modeling and control of semi-Markovian switching systems: a survey ⋮ Asymptotic behaviour analysis of stochastic functional differential equations with semi-Markovian switching signal ⋮ Mean square exponential stability of discrete-time Markov switched stochastic neural networks with partially unstable subsystems and mixed delays ⋮ Finite-time boundedness control for nonlinear networked systems with randomly occurring multi-distributed delays and missing measurements ⋮ Finite-time event-triggered approach for recurrent neural networks with leakage term and its application ⋮ Nonfragile synchronization of semi-Markovian jumping neural networks with time delays via sampled-data control and application to chaotic systems ⋮ Reliable stability and stabilizability for complex-valued memristive neural networks with actuator failures and aperiodic event-triggered sampled-data control ⋮ Extended dissipative resilient estimator design for discrete-time switched neural networks with unreliable links

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