Neural-network-based decentralized fault-tolerant control for a class of nonlinear large-scale systems with unknown time-delayed interaction faults

DOI10.1016/j.jfranklin.2013.12.010zbMath1395.93079OpenAlexW2050474673MaRDI QIDQ1659434

Sung Jin Yoo

Publication date: 15 August 2018

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

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2013.12.010

zbMATH Keywords

neural networksLyapunov stabilityfault-tolerant controladaptive approximation designnonlinear large-scale systems

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Nonlinear systems in control theory (93C10) Design techniques (robust design, computer-aided design, etc.) (93B51) Adaptive control/observation systems (93C40) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05) Decentralized systems (93A14) Large-scale systems (93A15)

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