An unconditionally stable finite difference discretization motivated by the well-known Crank–Nicolson method is used to develop an Iterative Learning Control (ILC) design for systems whose dynamics are described by a fourth-order partial differential equation. In particular, a discrete in time and space model of a deformable rectangular mirror, as an exemplar application, is derived and used in the ILC design. Finally, the feasibility of the new ILC design is confirmed by numerical simulations.
CITATION STYLE
Cichy, B., Augusta, P., Gałkowski, K., & Rogers, E. (2017). Iterative learning control for a class of spatially interconnected systems. In Advances in Intelligent Systems and Computing (Vol. 577, pp. 734–743). Springer Verlag. https://doi.org/10.1007/978-3-319-60699-6_71
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