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Decomposition of Nonlinear Dynamical Systems Using Koopman Gramians.

, , , and . ACC, page 4811-4818. IEEE, (2018)

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A Koopman Operator Approach for Computing and Balancing Gramians for Discrete Time Nonlinear Systems., , and . CoRR, (2017)Data Driven Online Learning of Power System Dynamics., , and . CoRR, (2020)A Minimal Realization Technique for the Dynamical Structure Function of a Class of LTI Systems., , , , , and . IEEE Trans. Control. Netw. Syst., 4 (2): 301-311 (2017)A Constructive Approach for One-Shot Training of Neural Networks Using Hypercube-Based Topological Coverings., and . CoRR, (2019)Data-Driven Operator Theoretic Methods for Phase Space Learning and Analysis., , and . CoRR, (2021)Prediction of whole-cell transcriptional response with machine learning., , , , , , , , , and 11 other author(s). Bioinform., 38 (2): 404-409 (2022)Koopman Operators for Generalized Persistence of Excitation Conditions for Nonlinear Systems., , , and . CDC, page 8106-8111. IEEE, (2019)Representing structure in linear interconnected dynamical systems., , , and . CDC, page 6010-6015. IEEE, (2010)Resource competition as a source of non-minimum phase behavior in transcription-translation systems., , and . CDC, page 4060-4067. IEEE, (2013)Steady state programming of controlled nonlinear systems via deep dynamic mode decomposition., , , and . ACC, page 4245-4251. IEEE, (2020)