Eurika Kaiser

1. Modern Koopman Theory for Dynamical Systems
   2022/05/01 by Steven L. Brunton, Marko Budišić, Eurika Kaiser +1 · 90 citations
   Physics and Astronomy · Engineering · #Model Reduction and Neural Networks #Fluid Dynamics and Turbulent Flows #Fluid Dynamics and Vibration Analysis
2. Modern Koopman Theory for Dynamical Systems
   2021/02/24 by Steven L. Brunton, Marko Budišić, Brunton, Steven L. +5 · 66 citations
   Physics and Astronomy · Engineering · #Model Reduction and Neural Networks #Fluid Dynamics and Turbulent Flows #Power System Optimization and Stability
3. SINDy with Control: A Tutorial
   2021/08/30 by Urban Fasel, Eurika Kaiser, Fasel, Urban +7 · 8 citations
   Physics and Astronomy · Engineering · #Model Reduction and Neural Networks #Control Systems and Identification #Fault Detection and Control Systems
4. Learning Discrepancy Models From Experimental Data
   2019/09/18 by Kadierdan Kaheman, Eurika Kaiser, Kaheman, Kadierdan +7 · 3 citations
   Physics and Astronomy · Engineering · #Model Reduction and Neural Networks #Hydraulic and Pneumatic Systems #Fault Detection and Control Systems
5. PyKoopman: A Python Package for Data-Driven Approximation of the Koopman Operator
   2023/06/22 by Shaowu Pan, Pan, Shaowu, Eurika Kaiser +7 · 4 citations
   Engineering · Physics and Astronomy · #Computational Physics (physics.comp-ph) #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #FOS: Physical sciences #Fluid Dynamics and Turbulent Flows #Fluid Dynamics and Vibration Analysis #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Systems and Control (eess.SY) #electronic engineering #information engineering
6. Principal component trajectories for modeling spectrally-continuous dynamics as forced linear systems
   2020/05/28 by Daniel Dylewsky, Dylewsky, Daniel, Eurika Kaiser +5 · 1 citation
   Engineering · Physics and Astronomy · #Computational Physics (physics.comp-ph) #Energy Load and Power Forecasting #FOS: Electrical engineering #FOS: Physical sciences #Model Reduction and Neural Networks #Power System Optimization and Stability #Systems and Control (eess.SY) #electronic engineering #information engineering
7. Deep reinforcement learning for optical systems: A case study of mode-locked lasers
   2020/06/10 by Chang Sun, Sun, Chang, Eurika Kaiser +5 · 1 citation
   Physics and Astronomy · Computer Science · Engineering · #Advanced Fiber Laser Technologies #Neural Networks and Reservoir Computing #Semiconductor Lasers and Optical Devices