In 2008, Krstic
founded the Cymer Center for
Control Systems and Dynamics, under joint funding by Cymer Corporation and General
Atomics. The center has fostered collaborations with industry in controls
research and placed numerous students at Cymer, GA, and other companies.
CHIP MANUFACTURING — EXTREME
ULTRAVIOLET LIGHT FOR PHOTOLITHOGRAPHY
Krstic
facilitated the transition of his extremum seeking technology to Cymer,
Inc., enabling Cymer to stabilize extreme ultraviolet light
sources, which revolutionized photolithography. The reduction of chip feature size from 193
nm to 13 nm enabled up to 220-fold increase in transistor density using the discrete-time ES algorithm in Krstic’s 2002 paper.[i] Cymer hired Krstic’s PhD graduate Paul Frihauf and his three other trainees on extremum seeking (Riggs,
Graham, Dunstan) who implemented Krstic’s algorithm on EUV (see their patent
8598552B1[ii]).
Promptly upon this technological breakthrough, Cymer was acquired
by ASML for $3.7B. ES algorithms have
made possible EUV sources used by Intel, IBM, Samsung, and TSMC. EUV has grown to a $10 Billion per year
industry, used in manufacturing of the world’s highest-density chips for
electronics ranging from mobile phones to data centers and GPUs used for AI.
AIRCRAFT ARRESTMENT ON US NAVY
CARRIERS
In 2014-2019, Krstic led a team of his four former PhDs and
trainees employed at General Atomics (Prior, Ghods,
Frihauf,
Kinney), in his role as a
consultant employed by GA, in the design of control algorithms and their performance
analysis, for electromagnetic arresting gear for landing aircraft on carriers.
These algorithms now perform all landings on the latest aircraft “supercarrier”
USS Gerald R. Ford
(CVN-78) and will be installed on all future Ford-class carriers, including USS John
F. Kennedy (CVN-79) and USS Enterprise (CVN-80). See the US Navy video showing landing of an
F/A-18E/F Super Hornet, a Grumman C-2A Greyhound, and an F-14 Tomcat on USS
Ford in January 2020, soon after successful control algorithm designs by the
team of Krstic’s students at General Atomics.
MARS ROVER CURIOSITY ChemCam
In 2015 NASA replaced their underperforming auto-focus
algorithm on the Mars Rover
Curiosity’s ChemCam
system by an extremum seeking algorithm whose development was
supervised by Krstic in the M.S. thesis of his student Walter Barkley,[iii]
employed by the Los Alamos National Laboratory. ChemCam fires a laser, focused by extremum
seeking, and analyzes the composition of Martian rocks.
CHARGED PARTICLE ACCELERATORS
Krstic
and his team introduced extremum seeking for beam matching in charged particle
accelerators in a 2007 article[iv] and
for Klystron power supplies in a 2014 article.[v]
Krstic’s PhD student Alexander
Scheinker (Los Alamos National Laboratory)
further developed and implemented extremum seeking algorithms for accelerators
throughout the U.S. Department of Energy laboratory complex and elsewhere in
the world: at Los Alamos (1 kilometer LANSCE), [vi] [vii] [viii]
[ix] [x] Lawrence Berkeley Lab,[xi] SLAC at Stanford,[xii] [xiii]
[xiv] Argonne Lab, CERN,[xv] Deutsches
Elektronen-Synchrotron,[xvi] etc.
Manual re-tuning of an accelerator, after annual maintenance or upgrade,
which mistunes the system, takes up to two months. Re-tuning with extremum
seeking takes minutes.
VIDEOS ON YouTube OF TECHNOLOGIES ENABLED BY KRSTIC
EUV at
Intel |
Jets
landing on carrier |
Mars
Rover – ChemCam |
1 km
accelerator at Los Alamos |
|
|
|
|
[i] J.-Y. Choi,
M. Krstic, K. B. Ariyur, and J. S. Lee, “Extremum seeking control for
discrete-time systems,” IEEE Transactions on Automatic Control,
2002.
[ii] Frihauf,
Riggs, Graham, Chang, Dunstan, “System
and method to optimize extreme ultraviolet light generation,” U.S. Patent 8598552B1, 2013.
[iii]
Barkley, Mars
Rover : Laser Focusing and Optimization, M.S. thesis under Prof.
Krstic, University of California, San Diego, 2008.
[iv] Schuster, Xu, Torres, Morinaga, Allen, Krstic, "Beam matching adaptive control
via extremum seeking,” Nuclear Instruments and Methods in Physics
Research Section, 2007.
[v] Scheinker, Bland,
Krstic, Audia, “Rise-time optimization of
accelerator high voltage converter modulator by extremum seeking,” IEEE Transactions on Control
Systems Technology, 2014.
[vi] Scheinker, Pang, Rybarcyk. "Model-independent particle accelerator tuning," Physical Review Special Topics-Accelerators and Beams, 2013.
[vii] Scheinker, Baily, Young, Kolski, Prokop, "In-hardware demonstration of model-independent adaptive tuning of noisy systems with arbitrary phase drift," Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2014.
[viii] Scheinker, "Application of extremum seeking for time-varying systems to resonance control of RF cavities," IEEE Transactions on Control Systems Technology, 2016.
[ix] Scheinker, "Iterative Extremum Seeking for feedforward compensation of beam loading in particle accelerator RF cavities," 2017 American Control Conference, 2017.
[x] Scheinker, Huang,
Taylor, "Extremum
seeking-based control system for particle accelerator beam loss minimization,"
IEEE Transactions on Control Systems Technology, 2022.
[xi] Scheinker, Cropp, Paiagua, Filippetto, "An adaptive approach
to machine learning for compact particle accelerators," Scientific
Reports, 2021.
[xii] Scheinker, Gessner, "Adaptive method for electron bunch profile prediction," Physical Review Special Topics-Accelerators and Beams, 2015.
[xiii] Scheinker, Huang, Wu, "Minimization of betatron oscillations of electron beam injected into a time-varying lattice via extremum seeking," IEEE Transactions on Control Systems Technology, 2017.
[xiv] Scheinker, Edelen, Bohler, Emma, Lutman, "Demonstration of model-independent control of the longitudinal phase space of electron beams in the linac-coherent light source with femtosecond resolution," Physical Review Letters, 2018.
[xv] Scheinker, Hirlaender, Velotti, Gessner, Della Porta, Kain, Goddard, and Ramjiawan, "Online
multi-objective particle accelerator optimization of the AWAKE electron beam
line for simultaneous emittance and orbit control," AIP Advances, 2020.
[xvi] Scheinker, Bohler,
Tomin, Kammering, Zagorodnov,
Schlarb, Scholz, Beutner,
Decking, "Model-independent
tuning for maximizing free electron laser pulse energy," Physical
Review Accelerators and Beams, 2019.
[xvii] J. Krieger
and M. Krstic, “Aircraft
endurance maximization at medium Mach numbers by extremum seeking,” AIAA Journal of Guidance, Control, and Dynamics, vol. 36, pp. 390-403, 2013.
[xviii] Banaszuk, Ariyur, Krstic, Jacobson, ``An adaptive algorithm for control of combustion instability,'' Automatica, 2004.
[xix] Krstic and Banaszuk, “Multivariable adaptive control of instabilities arising in jet engines,” Control Engineering Practice, 2006.
[xx] Banaszuk, Zhang, Jacobson, Krstic, ``Suppressing
oscillations in processes such as gas turbine combustion,'' U.S. Patent
6,522,991, 2003.
[xxi] Moura, Krstic, Chaturvedi, “Adaptive PDE observer for battery SOC/SOH estimation via an electrochemical model,” ASME Journal of Dynamic Systems, Measurement, and Control, 2014.
[xxii] Moura, Bribiesca Argomedo, Klein, Mirtabatabaei, Krstic, “Battery state estimation for a single particle model with electrolyte dynamics,” IEEE Transactions on Control Systems Technology, 2017.
[xxiii] Killingsworth, Krstic, Flowers, Espinoza-Loza, Ross, Aceves, ``HCCI engine combustion timing control: Optimizing gains and fuel consumption via extremum seeking,’’ IEEE Transactions on Control Systems Technology, 2009.
[xxiv] Hasan, Aamo, Krstic, “Boundary observer design for hyperbolic PDE-ODE cascade systems,” Automatica, 2016.
[xxv] Schuster, Walker, Humphreys, Krstic, “Plasma vertical stabilization with actuator constraints in the DIII-D tokamak,” Automatica, 2005.