Robust finite time stabilization analysis for uncertain neural networks with leakage delay and probabilistic time-varying delays

DOI10.1016/j.jfranklin.2016.07.006zbMath1347.93222OpenAlexW2489521723MaRDI QIDQ325695

Mohammad Hasan, M. Dambrine

Publication date: 11 October 2016

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

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2016.07.006

zbMATH Keywords

deterministic time-varying delay with stochastic parametersrobust finite time stabilizationuncertain neural networks

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Control/observation systems with incomplete information (93C41) Adaptive or robust stabilization (93D21) Transformations (93B17)

Related Items (12)

A generalized probability-interval-decomposition approach for stability analysis of T-S fuzzy systems with stochastic delays ⋮ Dissipativity analysis of delayed stochastic generalized neural networks with Markovian jump parameters ⋮ Effects of multiple delays on dynamics of a five-neuron network model ⋮ Non-fragile sampled-data stabilization analysis for linear systems with probabilistic time-varying delays ⋮ Robust finite-time guaranteed cost control for positive systems with multiple time delays ⋮ Robust passivity analysis for uncertain neural networks with leakage delay and additive time-varying delays by using general activation function ⋮ Global asymptotic stability of stochastic complex-valued neural networks with probabilistic time-varying delays ⋮ Finite-time event-triggered approach for recurrent neural networks with leakage term and its application ⋮ Prescribed convergence analysis of recurrent neural networks with parameter variations ⋮ Finite-time extended dissipativity control for interval type-2 fuzzy systems with resilient memory sampled-data controller ⋮ Global asymptotic stability analysis for neutral-type complex-valued neural networks with random time-varying delays ⋮ Stability and dissipativity analysis for uncertain Markovian jump systems with random delays via new approach

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