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Andrew G. Alleyne

Researcher at University of Illinois at Urbana–Champaign

Publications -  398
Citations -  13855

Andrew G. Alleyne is an academic researcher from University of Illinois at Urbana–Champaign. The author has contributed to research in topics: Control theory & Iterative learning control. The author has an hindex of 49, co-authored 390 publications receiving 12361 citations. Previous affiliations of Andrew G. Alleyne include University of Chicago & University of Toronto.

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A survey of iterative learning control

TL;DR: Though beginning its third decade of active research, the field of ILC shows no sign of slowing down and includes many results and learning algorithms beyond the scope of this survey.
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High-resolution electrohydrodynamic jet printing

TL;DR: Key aspects of the physics of this approach, which has some features in common with related but comparatively low-resolution techniques for graphic arts, are revealed through direct high-speed imaging of the droplet formation processes.
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Nonlinear adaptive control of active suspensions

TL;DR: Simulation and experimental results show that the active system is better than a passive system in terms of improving the ride quality of the vehicle and both of the adaptive schemes improve performance, with the modified scheme giving the greater improvement in performance.
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Mechanisms, Capabilities, and Applications of High-Resolution Electrohydrodynamic Jet Printing.

TL;DR: This review gives an overview of techniques used for high-resolution jet printing that rely on electrohydrodynamically induced flows to provide unique opportunities not only in scientific studies but also in a range of applications that includes printed electronics, tissue engineering, and photonic and plasmonic devices.
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Closed-loop control over wireless networks

TL;DR: In this article, an implementation of an 802.11b wireless control loop with high communication rates and a timing scheme that uses clock driven sensing and actuation with event-driven control is presented.