Data-Driven Controller Design for Atomic-Force Microscopy

A novel method to design data-driven, fixed-structure controllers with H2 and H∞ performance objectives is presented. The control design problem is transformed into a convex optimization problem with linear matrix inequality constraints, which can be solved efficiently with standard solvers. The method is used to design a data-driven controller for an atomic-force microscope. The closed-loop performance of the calculated controller is validated on a real setup.


Published in:
Proceedings of the 20th IFAC World Congress
Presented at:
20th World Congress of IFAC, Toulouse, France, August 27-30, 2017
Year:
2017
Keywords:
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 Record created 2017-05-30, last modified 2018-03-16

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