Published October 13, 2022
| Version v1
Conference paper
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Functional Iterative Learning Control for Linear Systems
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Description
Many linear dynamic systems can usually be modeled in
continuous time. However, to simplify the learning phase
of Iterative Learning Control, the system output signal
is frequently sampled, while the input is discretized,
de-facto obtaining a discrete-time system. This work
aims at preserving the continuous nature of the system,
while tracking sampled outputs. To this end, we model
the input signal as an element of a functional subspace,
exploiting its infinite-dimension. Simulation results
are presented.
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