Results 31 to 40 of about 186,289 (275)
Extended Nodal Admittance Matrix Based Stability Analysis of HVDC Connected AC Grids
IEEE Access, 2022 Motivated by emerging HVDC oscillation issues resulted from the interaction with AC grids, impedance-based stability analysis has become an attractive approach in the de-risking studies due to the capability of black-box modelling and clear physical ...
Yonggang Zhang +3 more
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Extended Dynamic Mode Decomposition with Learned Koopman Eigenfunctions for Prediction and Control [PDF]
2020 American Control Conference (ACC), 2020 This paper presents a novel learning framework to construct Koopman eigenfunctions for unknown, nonlinear dynamics using data gathered from experiments. The learning framework can extract spectral information from the full nonlinear dynamics by learning the eigenvalues and eigenfunctions of the associated Koopman operator.
Folkestad, Carl +5 more
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Dynamic modal analysis of monolithic mode-locked semiconductor lasers [PDF]
, 2003 We analyze the advantages and applicability limits of the mode-coupling approach to active, passive, hybrid, and harmonic mode-locking in diode lasers. A simple, computationally efficient numerical model is proposed and applied to several traditional and
Arnold, J.M. +2 more
core +1 more source
Nonlinear Theory and Its Applications, IEICE, 2021 Nonlinear phenomena can be analyzed via linear techniques using operator-theoretic approaches. Data-driven method called the extended dynamic mode decomposition (EDMD) and its variants, which approximate the Koopman operator associated with the nonlinear phenomena, have been rapidly developing by incorporating machine learning methods.
Hiroaki Terao +2 more
openaire +3 more sources
An Improved Parallel MDBN With AVMD for Nonlinear System Modeling
IEEE Access, 2020 Nonlinear system modeling using Deep Belief Network (DBN) is currently a research hotspot. However, the training process of DBN needs large amount of data to guarantee accuracy, and the traditional DBN may not meet the requirement of high-precision ...
Qibing Jin +4 more
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International Journal of Automotive Engineering, 2017 In this research, we conduct unsteady CFD to investigate the effect of engine bay flow on the steady and unsteady aerodynamics of the extended DrivAer model reproducing engine bay flow.
Daiki Matsumoto +2 more
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Mathematics, 2021 In this paper, we introduce a model-free algorithm, robust mode analysis (RMA), to extract primary constituents in a fluid or reacting flow directly from high-frequency, high-resolution experimental data.
Gemunu H. Gunaratne, Sukesh Roy
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Eigendecompositions of Transfer Operators in Reproducing Kernel Hilbert Spaces [PDF]
, 2017 Transfer operators such as the Perron--Frobenius or Koopman operator play an important role in the global analysis of complex dynamical systems. The eigenfunctions of these operators can be used to detect metastable sets, to project the dynamics onto the
Klus, Stefan +2 more
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Extending dynamic mode decomposition to data from multiple outputs
, 2021 System identification based on Koopman operator theory has grown in popularity recently. Spectral properties of the Koopman operator of a system were proven to relate to properties like invariant sets, stability, periodicity, etc. of the underlying system.
openaire +2 more sources
Spectral Properties of Effective Dynamics from Conditional Expectations
Entropy, 2021 The reduction of high-dimensional systems to effective models on a smaller set of variables is an essential task in many areas of science. For stochastic dynamics governed by diffusion processes, a general procedure to find effective equations is the ...
Feliks Nüske +3 more
doaj +1 more source