Improved delay-probability-dependent results for stochastic neural networks with randomly occurring uncertainties and multiple delays
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Publication:5027816
DOI10.1080/00207721.2018.1483044zbMath1482.93594OpenAlexW2808436599WikidataQ129703736 ScholiaQ129703736MaRDI QIDQ5027816
Wenqin Wang, Kaibo Shi, Xian-Ming Gu, Jinnan Luo, Wenhong Tian, Shou-ming Zhong
Publication date: 7 February 2022
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207721.2018.1483044
convex combinationprobability distributionstochastic neural networksrandomly occurring uncertainties
Asymptotic stability in control theory (93D20) Stochastic systems in control theory (general) (93E03) Delay control/observation systems (93C43) Networked control (93B70)
Related Items (3)
SLeNN-ELM: a shifted Legendre neural network method for fractional delay differential equations based on extreme learning machine ⋮ Finite-time boundedness of state estimation for semi-Markovian jump systems with distributed leakage delay and linear fractional uncertainties ⋮ L2-L∞ filtering for stochastic delayed systems with randomly occurring nonlinearities and sensor saturation
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