Neural network compensation control for mechanical systems with disturbances

DOI10.1016/j.automatica.2008.12.009zbMath1162.93345OpenAlexW2057059845MaRDI QIDQ1023139

Jingliang Zhang, Frank L. Lewis, Xuemei Ren

Publication date: 10 June 2009

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2008.12.009

zbMATH Keywords

mechanical systemsneural networksfeedforward control

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Design techniques (robust design, computer-aided design, etc.) (93B51) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05) Control of mechanical systems (70Q05)

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Cites Work

• A new adaptive law for robust adaptation without persistent excitation
• Globally asymptotically stable ‘PD+’ controller for robot manipulators
• Stable adaptive tracking of uncertain systems using nonlinearly parametrized on-line approximators
• H_∞ compensation of external vibration impact on servo performance of hard disk drives in mobile applications

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