| 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 | 166 | 2022 |
| 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 | 156 | 2012 |
| Extremum seeking with bounded update rates A Scheinker, M Krstić Systems & Control Letters 63, 25-31, 2014 | 137 | 2014 |
| Model-free stabilization by extremum seeking A Scheinker, M Krstić Springer International Publishing, 2017 | 122 | 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 | 116 | 2018 |
| Bounded extremum seeking with discontinuous dithers A Scheinker, D Scheinker Automatica 69, 250-257, 2016 | 87 | 2016 |
| Adaptive method for electron bunch profile prediction A Scheinker, S Gessner Physical Review Special Topics—Accelerators and Beams 18 (10), 102801, 2015 | 64 | 2015 |
| Extremum seeking for dynamic maps using Lie brackets and singular perturbations HB Dürr, M Krstić, A Scheinker, C Ebenbauer Automatica 83, 91-99, 2017 | 58 | 2017 |
| Non- Lie Bracket Averaging for Nonsmooth Extremum Seekers A Scheinker, M Krstić Journal of Dynamic Systems, Measurement, and Control 136 (1), 011010, 2014 | 57 | 2014 |
| Adaptive 3D convolutional neural network-based reconstruction method for 3D coherent diffraction imaging A Scheinker, R Pokharel Journal of Applied Physics 128 (18), 2020 | 50 | 2020 |
| Model-independent particle accelerator tuning A Scheinker, X Pang, L Rybarcyk Physical Review Special Topics—Accelerators and Beams 16 (10), 102803, 2013 | 50 | 2013 |
| 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 | 49 | 2023 |
| An adaptive approach to machine learning for compact particle accelerators A Scheinker, F Cropp, S Paiagua, D Filippetto Scientific reports 11 (1), 19187, 2021 | 46 | 2021 |
| 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 | 45 | 2019 |
| Adaptive machine learning for time-varying systems: low dimensional latent space tuning A Scheinker Journal of Instrumentation 16 (10), P10008, 2021 | 44 | 2021 |
| 100 years of extremum seeking: A survey A Scheinker Automatica 161, 111481, 2024 | 37 | 2024 |
| 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 | 33 | 2018 |
| Model independent beam tuning A Scheinker Proceedings of the 2013 international particle accelerator conference, 1862-1864, 2013 | 32 | 2013 |
| 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 | 29 | 2020 |
| Minimization of betatron oscillations of electron beam injected into a time-varying lattice via extremum seeking A Scheinker, X Huang, J Wu IEEE Transactions on Control Systems Technology 26 (1), 336-343, 2017 | 28 | 2017 |
Miroslav KrsticDistinguished Professor and Alspach Endowed Chair, UC San DiegoVerified email at ucsd.edu
