Stabilization of nonlinear singularly perturbed systems using multilayered neural networks

DOI10.1016/0016-0032(95)00064-XzbMath0852.93044OpenAlexW2006462966MaRDI QIDQ1921953

Jer-Guang Hsieh, Jui-Hong Horng, Teh-Lu Liao

Publication date: 3 September 1996

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

Full work available at URL: https://doi.org/10.1016/0016-0032(95)00064-x

zbMATH Keywords

dead zonestabilizationneural networkssingularly perturbed systemsgradient descent methodnonlinear learning feedback

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Stabilization of systems by feedback (93D15) Neural networks for/in biological studies, artificial life and related topics (92B20) Adaptive control/observation systems (93C40) Perturbations in control/observation systems (93C73)

Cites Work

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• Globally stable robust tracking of nonlinear systems using variable structure control and with an application to a robotic manipulator
• Stable control of nonlinear systems using neural networks
• Direct adaptive output tracking control using multilayered neural networks

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