Gait Generation for a Hopping Robot Via Iterative Learning Control Based on Variational Symmetry

DOI10.1007/978-3-540-73890-9_15zbMath1130.68097OpenAlexW34238080MaRDI QIDQ5436772

Sang-Ho Hyon, Kenji Fujimoto, Satoshi Satoh

Publication date: 17 January 2008

Published in: Lagrangian and Hamiltonian Methods for Nonlinear Control 2006 (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-540-73890-9_15

zbMATH Keywords

optimal control

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Automated systems (robots, etc.) in control theory (93C85) Hamilton's equations (70H05) Artificial intelligence for robotics (68T40)

Cites Work

• Iterative learning control of hamiltonian systems: I/O based optimal control approach

This page was built for publication: Gait Generation for a Hopping Robot Via Iterative Learning Control Based on Variational Symmetry