Iterative learning control of robots with elastic joints

The design of a repetitive learning controller for robots with elastic joints, following a frequency-domain approach, is presented. An efficient and simple iterative learning algorithm is presented, allowing solution of the output tracking problem with limited knowledge of system dynamics and using only a linear stabilizing feedback on the motor variables. Simulation results reported for a two-link planar robot under gravity showed good motion performance in this critical case.<
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