Direct Adaptive Control of Underwater Vehicles using Neural Networks

DOI10.1177/1077546303009005006zbMath1040.70015OpenAlexW2010002294MaRDI QIDQ4458375

Myung H. Kim, Daniel J. Inman

Publication date: 17 March 2004

Published in: Journal of Vibration and Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1177/1077546303009005006

zbMATH Keywords

Lyapunov theorymultilayer neural networkradial basis neural networkGaussian neural networkvanishing tracking error

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Adaptive control/observation systems (93C40) Control of mechanical systems (70Q05)

Cites Work

• Adaptive control of nonlinear systems: A case study of underwater robotic systems

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