[HTML][HTML] 100 years of extremum seeking: A survey
A Scheinker - Automatica, 2024 - Elsevier
Extremum seeking (ES) is a powerful approach to the optimization and stabilization of
unknown dynamic systems and is an active field of research in control theory. This paper …
unknown dynamic systems and is an active field of research in control theory. This paper …
Bayesian optimization of a free-electron laser
The Linac coherent light source x-ray free-electron laser is a complex scientific apparatus
which changes configurations multiple times per day, necessitating fast tuning strategies to …
which changes configurations multiple times per day, necessitating fast tuning strategies to …
Tuning particle accelerators with safety constraints using Bayesian optimization
Tuning machine parameters of particle accelerators is a repetitive and time-consuming task
that is challenging to automate. While many off-the-shelf optimization algorithms are …
that is challenging to automate. While many off-the-shelf optimization algorithms are …
Bayesian optimization of the beam injection process into a storage ring
C Xu, T Boltz, A Mochihashi, A Santamaria Garcia… - … Review Accelerators and …, 2023 - APS
We have evaluated the data-efficient Bayesian optimization method for the specific task of
injection tuning in a circular accelerator. In this paper, we describe the implementation of this …
injection tuning in a circular accelerator. In this paper, we describe the implementation of this …
Extremum seeking-based control system for particle accelerator beam loss minimization
A Scheinker, EC Huang, C Taylor - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Particle accelerators throughout the world vary widely in terms of age and availability of
advanced noninvasive diagnostics that provide varying levels of detail about the accelerated …
advanced noninvasive diagnostics that provide varying levels of detail about the accelerated …
Experimental safe extremum seeking for accelerators
We demonstrate the recent designs of safe extremum seeking (Safe ES) on the 1-km-long
charged particle accelerator at the Los Alamos Neutron Science Center (LANSCE). Safe ES …
charged particle accelerator at the Los Alamos Neutron Science Center (LANSCE). Safe ES …
Robust simplex algorithm for online optimization
X Huang - Physical Review Accelerators and Beams, 2018 - APS
A new optimization algorithm is introduced for online optimization applications. The
algorithm was modified from the popular Nelder-Mead simplex method to make it noise …
algorithm was modified from the popular Nelder-Mead simplex method to make it noise …
[图书][B] Beam-based correction and optimization for accelerators
X Huang - 2020 - library.oapen.org
This book provides systematic coverage of the beam-based techniques that accelerator
physicists use to improve the performance of large particle accelerators, including …
physicists use to improve the performance of large particle accelerators, including …
Multipoint-BAX: a new approach for efficiently tuning particle accelerator emittance via virtual objectives
Although beam emittance is critical for the performance of high-brightness accelerators,
optimization is often time limited as emittance calculations, commonly done via quadrupole …
optimization is often time limited as emittance calculations, commonly done via quadrupole …
Enabling dynamic 3D coherent diffraction imaging via adaptive latent space tuning of generative autoencoders
A Scheinker, R Pokharel - npj Computational Materials, 2024 - nature.com
Coherent diffraction imaging (CDI) is an advanced non-destructive 3D X-ray imaging
technique for measuring a sample's electron density. The main challenge of CDI is loss of …
technique for measuring a sample's electron density. The main challenge of CDI is loss of …