Iterative Learning Control Applied to a Deformable Mirror

0478952 - ÚTIA 2018 RIV US eng C - Konferenční příspěvek (zahraniční konf.)
Cichy, B. - Augusta, Petr - Galkowski, K. - Rogers, E.
Iterative Learning Control Applied to a Deformable Mirror.
Proceedings of the 36th Chinese Control Conference. Piscataway: IEEE, 2017, s. 3485-3490, č. článku 8027897. ISBN 978-1-5386-2918-5.
[The 36th Chinese Control Conference. Dalian (CN), 26.07.2017-28.07.2017]
Institucionální podpora: RVO:67985556
Klíčová slova: Crank-Nicolson Discretization Method * Iterative Learning Control * Thin Plates
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://ieeexplore.ieee.org/document/8027897/

An unconditionally stable finite difference discretization motivated aby the well-known Crank-Nicolson method is used to develop an iterative learning control design for systems whose dynamics are described by a fourh-order partial differential equation. A discrete in time and space model of a deformable rectangular mirror is derived in this setting and forms the basis for the new design, where a model for the actuator dynamics is also included. A numerical case study is given to demonstrate the properties of the new design.
Trvalý link: http://hdl.handle.net/11104/0275246