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

DOI10.1109/TAC.2003.817908zbMath1364.93513MaRDI QIDQ5266711

Kenji Fujimoto, Toshiharu Sugie

Publication date: 20 June 2017

Published in: IEEE Transactions on Automatic Control (Search for Journal in Brave)

Mathematics Subject Classification ID

Adaptive control/observation systems (93C40) Automated systems (robots, etc.) in control theory (93C85) Control of mechanical systems (70Q05)

Related Items (8)

An overview on recent machine learning techniques for port Hamiltonian systems ⋮ Iterative Learning Control for Nonlinear Systems: A Bounded-Error Algorithm ⋮ Stability analysis of discrete-time iterative learning control systems with interval uncertainty ⋮ Passivity based control of a class of Hamiltonian systems with nonholonomic constraints ⋮ Repetitive control of Hamiltonian systems based on variational symmetry ⋮ Trajectory tracking control of port-controlled Hamiltonian systems via generalized canonical transformations. ⋮ Robust learning controller design for MIMO stochastic discrete-time systems: An H∞-based approach ⋮ Gait Generation for a Hopping Robot Via Iterative Learning Control Based on Variational Symmetry

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