Alexander Scheinker
Cited by
Cited by
Minimum-seeking for CLFs: Universal semiglobally stabilizing feedback under unknown control directions
A Scheinker, M Krstić
IEEE Transactions on Automatic Control 58 (5), 1107-1122, 2012
Colloquium: Machine learning in nuclear physics
A Boehnlein, M Diefenthaler, N Sato, M Schram, V Ziegler, C Fanelli, ...
Reviews of Modern Physics 94 (3), 031003, 2022
Extremum seeking with bounded update rates
A Scheinker, M Krstić
Systems & Control Letters 63, 25-31, 2014
Model-free stabilization by extremum seeking
A Scheinker, M Krstić
Springer International Publishing, 2017
Demonstration of model-independent control of the longitudinal phase space of electron beams in the linac-coherent light source with femtosecond resolution
A Scheinker, A Edelen, D Bohler, C Emma, A Lutman
Physical review letters 121 (4), 044801, 2018
Bounded extremum seeking with discontinuous dithers
A Scheinker, D Scheinker
Automatica 69, 250-257, 2016
Adaptive method for electron bunch profile prediction
A Scheinker, S Gessner
Physical Review Special Topics-Accelerators and Beams 18 (10), 102801, 2015
Non- Lie Bracket Averaging for Nonsmooth Extremum Seekers
A Scheinker, M Krstić
Journal of Dynamic Systems, Measurement, and Control 136 (1), 011010, 2014
Extremum seeking for dynamic maps using Lie brackets and singular perturbations
HB Dürr, M Krstić, A Scheinker, C Ebenbauer
Automatica 83, 91-99, 2017
Model-independent particle accelerator tuning
A Scheinker, X Pang, L Rybarcyk
Physical Review Special Topics-Accelerators and Beams 16 (10), 102803, 2013
Adaptive 3D convolutional neural network-based reconstruction method for 3D coherent diffraction imaging
A Scheinker, R Pokharel
Journal of Applied Physics 128 (18), 2020
Model-independent tuning for maximizing free electron laser pulse energy
A Scheinker, D Bohler, S Tomin, R Kammering, I Zagorodnov, H Schlarb, ...
Physical review accelerators and beams 22 (8), 082802, 2019
Adaptive machine learning for time-varying systems: low dimensional latent space tuning
A Scheinker
Journal of Instrumentation 16 (10), P10008, 2021
An adaptive approach to machine learning for compact particle accelerators
A Scheinker, F Cropp, S Paiagua, D Filippetto
Scientific reports 11 (1), 19187, 2021
2022 Review of Data-Driven Plasma Science
R Anirudh, R Archibald, MS Asif, MM Becker, S Benkadda, PT Bremer, ...
IEEE Transactions on Plasma Science 51 (7), 1750-1838, 2023
Constrained extremum seeking stabilization of systems not affine in control
A Scheinker, D Scheinker
International Journal of Robust and Nonlinear Control 28 (2), 568-581, 2018
Model independent beam tuning
A Scheinker
Proceedings of the 2013 International Particle Accelerator Conference …, 2013
Singularly perturbed lie bracket approximation
HB Dürr, M Krstić, A Scheinker, C Ebenbauer
IEEE Transactions on Automatic Control 60 (12), 3287-3292, 2015
Online multi-objective particle accelerator optimization of the AWAKE electron beam line for simultaneous emittance and orbit control
A Scheinker, S Hirlaender, FM Velotti, S Gessner, GZ Della Porta, V Kain, ...
AIP Advances 10 (5), 2020
In-hardware demonstration of model-independent adaptive tuning of noisy systems with arbitrary phase drift
A Scheinker, S Baily, D Young, JS Kolski, M Prokop
Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2014
The system can't perform the operation now. Try again later.
Articles 1–20