Model-based update in task-level feedforward control using on-line approximation

DOI10.1016/S0005-1098(00)00178-3zbMath0972.93046OpenAlexW2031309145MaRDI QIDQ5930061

George Vukovich, Dimitry M. Gorinevsky

Publication date: 7 November 2001

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0005-1098(00)00178-3

zbMATH Keywords

convergencelearning algorithmon-line algorithmfeedforward controlflexible spacecraftmaneuverneural network approximationtime profiles

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Application models in control theory (93C95) Design techniques (robust design, computer-aided design, etc.) (93B51)

Cites Work

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• A receding-horizon regulator for nonlinear systems and a neural approximation
• Regularization Algorithms for Learning That Are Equivalent to Multilayer Networks
• Learning control theory for robotic motion
• Neural approximators for nonlinear finite-memory state estimation
• An approach to parametric nonlinear least square optimization and application to task-level learning control

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