Root / Conference Proceedings / 9th IFAC Workshop "ADAPTATION AND LEARNING IN CONTROL AND SIGNAL PROCESSING" (ALCOSP'07) / Experimentally Verified Robustness Properties of a Class of Model Inverse ILC Algorithms
Experimentally Verified Robustness Properties of a Class of Model Inverse ILC Algorithms
In this paper the subject is the robustness of an inverse type
iterative learning control algorithm. In addition to new insight
into the theory for such algorithms, experimental results from
application to an industrial scale gantry robot system are given.
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