Results 61 to 70 of about 1,899,215 (187)
Laguerre-Gram Reduced-Order Modeling [PDF]
, 2005 International audienceWe present an efficient model reduction procedure based on the Laguerre description of the system to be approximated. Using a one-order operator defined in the Laplace domain we construct a pencil of functions and formulate the ...
Amghayrir, Ahmed +4 more
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Neuro-Fuzzy Network-Based Reduced-Order Modeling of Transonic Aileron Buzz
Aerospace, 2020 In the present work, a reduced-order modeling (ROM) framework based on a recurrent neuro-fuzzy model (NFM) that is serial connected with a multilayer perceptron (MLP) neural network is applied for the computation of transonic aileron buzz.
Rebecca Zahn, Christian Breitsamter
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Journal of Advances in Modeling Earth SystemsInvestigating the role of clouds and precipitation in the Earth system necessitates microphysical schemes capable of accurately describing the evolution of hydrometeor particle size distribution (PSD), while maintaining low computational costs ...
Kang‐En Huang +3 more
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Reduced-Order Thermal Modeling for Photovoltaic Inverters Considering Mission Profile Dynamics
IEEE Open Journal of Power Electronics, 2020 Power devices are among the reliability-critical components in the Photovoltaic (PV) inverter, whose failures are normally related to the thermal stress. Therefore, thermal modeling is required for estimating the thermal stress of the power devices under
Ariya Sangwongwanich +2 more
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Reduced-order modeling and dynamics of nonlinear acoustic waves in a combustion chamber [PDF]
, 2005 For understanding the fundamental properties of unsteady motions in combustion chambers, and for applications of active feedback control, reduced-order models occupy a uniquely important position. A framework exists for transforming the representation of
Ananthkrishnan, N. +2 more
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Reduced Order Modeling of Composite Laminates Through Solid-Shell Coupling
Journal of Aerospace Technology and Management, 2017 Composite laminates display a complex mechanical behavior due to their microstructure, with a through-thickness variation of the displacement and stress fields that depends on the fiber orientation in each layer. Aiming to develop reduced-order numerical
Gigliola Salerno +2 more
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Machine Learning: Science and TechnologyWhile many phenomena in physics and engineering are formally high-dimensional, their long-time dynamics often live on a lower-dimensional manifold. The present work introduces an autoencoder framework that combines implicit regularization with internal ...
Kevin Zeng +3 more
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On the Selection of Tuning Methodology of FOPID Controllers for the Control of Higher Order Processes [PDF]
, 2012 In this paper, a comparative study is done on the time and frequency domain tuning strategies for fractional order (FO) PID controllers to handle higher order processes. A new fractional order template for reduced parameter modeling of stable minimum/non-
Alomoush +56 more
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Controlling quantum many-body systems using reduced-order modeling
Physical Review ResearchQuantum many-body control is among the most challenging problems in quantum science due to its outstanding computational complexity in a general case. We propose an efficient approach to a class of many-body quantum control problems, where time-dependent
I. A. Luchnikov +2 more
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, 2020 In this paper, we put forth a long short-term memory (LSTM) nudging framework for the enhancement of reduced order models (ROMs) of fluid flows utilizing noisy measurements. We build on the fact that in a realistic application, there are uncertainties in
Ahmed, Shady +3 more
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