Results 51 to 60 of about 212,072 (202)
An optimization method for dynamics of structures with repetitive component patterns [PDF]
, 2009 The occurrence of dynamic problems during the operation of machinery may have devastating effects on a product. Therefore, design optimization of these products becomes essential in order to meet safety criteria.
Akcay Perdahcioglu, D. +3 more
core +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
doaj +1 more source
Data-driven Identification and Prediction of Power System Dynamics Using Linear Operators [PDF]
, 2019 In this paper, we propose linear operator theoretic framework involving Koopman operator for the data-driven identification of power system dynamics. We explicitly account for noise in the time series measurement data and propose robust approach for data-
Ajjarapu, Venkataramana +4 more
core +4 more sources
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
doaj +1 more source
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
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
doaj +1 more source
Data-Driven Approximation of Transfer Operators: Naturally Structured Dynamic Mode Decomposition
, 2017 In this paper, we provide a new algorithm for the finite dimensional approximation of the linear transfer Koopman and Perron-Frobenius operator from time series data.
froyland, klus, lasota, mezi?, surana
core +1 more source
A Class of Logistic Functions for Approximating State-Inclusive Koopman Operators
, 2017 An outstanding challenge in nonlinear systems theory is identification or learning of a given nonlinear system's Koopman operator directly from data or models.
arbabi +7 more
core +1 more source
On Aggregation and Prediction of Cybersecurity Incident Reports
IEEE Access, 2021 The study of cybersecurity incidents is an active research field. The purpose of this work is to determine accurate measures of cybersecurity incidents. An effective method to aggregate cybersecurity incident reports is defined to set these measures.
Miguel V. Carriegos +3 more
doaj +1 more source
Kernel methods for detecting coherent structures in dynamical data
, 2019 We illustrate relationships between classical kernel-based dimensionality reduction techniques and eigendecompositions of empirical estimates of reproducing kernel Hilbert space (RKHS) operators associated with dynamical systems.
Husic, Brooke E. +3 more
core +1 more source