Iterative learning Control (ILC) is a widely used design technique for determining
feedforward control inputs to systems that perform the same task repeatedly. This …

This paper presents an experimental validation of a recently proposed robust norm-optimal
iterative learning control (ILC). The robust ILC input is computed by minimizing the worst …

Iterative learning control (ILC) has proven to be an effective method for improving the
performance of repetitive control tasks. This paper revisits two optimization-based ILC …

To prevent the reduction of muscle mass and loss of strength coming along with the human
aging process, regular training with eg a leg press is suitable. However, the risk of training …

The paper presents the initial study on the deployment control of the deployable tube-boom
mast, a novel design concept of large space masts. The work first analyzes the deploying …

Iterative learning control was developed for systems that repeat the same task over a finite
duration with resetting to the starting point once each execution is complete. The …

In this paper we show that inverses of well-conditioned, finite-time Gramians and impulse
response matrices of large-scale interconnected systems described by sparse state-space …

The overarching objective of this thesis is to further the state of the art for control of additive
manufacturing (AM). AM refers to the general class of manufacturing processes that build up …

This paper presents an experimental validation of a recently proposed robust normoptimal
iterative learning control (ILC). The robust ILC input is computed by minimizing the worst …