Results 31 to 40 of about 17,477 (250)
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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Extending dynamic mode decomposition to data from multiple outputs
CoRR, 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 +4 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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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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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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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
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IEEE AccessThis paper presents a novel framework for adaptive learning of Koopman operator to predict the behavior of nonlinear time-varying dynamical systems based on the celebrated extended dynamic mode decomposition (EDMD).
Reiya Asuke, Masahiro Yukawa
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Visualizing GPR Data Using Spatial-Subband Configuration
IEEE Access, 2018 In ground penetrating radar (GPR) applications, base-scale analysis can be a powerful tool to support data analysis and to build a consensus in data interpretation.
Da Yuan, Mei Hong, Zhiyong An
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Analytic Extended Dynamic Mode Decomposition
SIAM Journal on Applied Dynamical SystemsWe develop a novel EDMD-type algorithm that captures the spectrum of the Koopman operator defined on a reproducing kernel Hilbert space of analytic functions. This method, which we call analytic EDMD, relies on an orthogonal projection on polynomial subspaces, which is equivalent to a data-driven Taylor approximation.
Alexandre Mauroy, Igor Mezić
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Structural insights into an engineered feruloyl esterase with improved MHET degrading properties
FEBS Letters, EarlyView.A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa +5 more
wiley +1 more source