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Data-driven discovery of Koopman eigenfunctions for control., , and . Mach. Learn. Sci. Technol., 2 (3): 35023 (September 2021)Smoothing and parameter estimation by soft-adherence to governing equations., , and . J. Comput. Phys., (2019)Machine Learning for Fluid Mechanics, , and . Annual Review of Fluid Mechanics, (January 2020)Sparse Principal Component Analysis via Variable Projection., , , , , and . SIAM J. Appl. Math., 80 (2): 977-1002 (2020)A Unified Sparse Optimization Framework to Learn Parsimonious Physics-Informed Models From Data., , , , and . IEEE Access, (2020)Optimal Sensor and Actuator Placement using Balanced Model Reduction., , and . CoRR, (2018)Deep Model Predictive Control with Online Learning for Complex Physical Systems., , , , and . CoRR, (2019)Randomized methods to characterize large-scale vortical flow network., , , , and . CoRR, (2019)On dynamic mode decomposition: Theory and applications, , , , and . Journal of Computational Dynamics, 1 (2): 391--421 (2014)Discovering governing equations from data by sparse identification of nonlinear dynamical systems, , and . Proceedings of the National Academy of Sciences, 113 (15): 3932-3937 (2016)