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Dynamic-mode decomposition and optimal prediction. [PDF]
Physical Review E, 2021 Dynamic-mode decomposition (DMD) is a well-established data-driven method of finding temporally evolving linear-mode decompositions of a nonlinear time series.
C. Curtis, D. J. Alford-Lago
semanticscholar +4 more sources
Swarm Modeling With Dynamic Mode Decomposition
IEEE Access, 2022 Modelling biological or engineering swarms is challenging due to the inherently high dimension of the system, despite the often low-dimensional emergent dynamics.
Emma Hansen +2 more
doaj +5 more sources
Prediction Accuracy of Dynamic Mode Decomposition
SIAM Journal on Scientific Computing, 2020 Dynamic mode decomposition (DMD), which the family of singular-value decompositions (SVD), is a popular tool of data-driven regression. While multiple numerical tests demonstrated the power and efficiency of DMD in representing data (i.e., in the interpolation mode), applications of DMD as a predictive tool (i.e., in the extrapolation mode) are scarce.
Hannah Lu, Daniel M. Tartakovsky
openaire +6 more sources
Real-time motion detection using dynamic mode decomposition [PDF]
EURASIP Journal on Image and Video ProcessingDynamic mode decomposition (DMD) is a numerical method that seeks to fit time-series data to a linear dynamical system. In doing so, DMD decomposes dynamic data into spatially coherent modes that evolve in time according to exponential growth/decay or ...
Marco Mignacca +2 more
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Dynamic Atomic Force Microscopy and applications in biomolecular imaging [PDF]
, 2011 The Atomic Force Microscope (AFM) is a key member of the Scanning Probe Microscope (SPM) family. Its versatility allows it to image and manipulate nanoscale features with high precision, making it one of the main instruments in nanotechnology for ...
Hernandez, Sergio Santos
core +6 more sources
Non-linear discrete-time observer design by sliding mode [PDF]
, 2007 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University, 09/02/2007.Research into observer design for non-linear discrete-time systems has produced many design methods.
Algarawi, Mohammed
core +7 more sources
Physics-informed dynamic mode decomposition
Proceedings of the Royal Society A, 2023 In this work, we demonstrate how physical principles—such as symmetries, invariances and conservation laws—can be integrated into the dynamic mode decomposition (DMD).
Peter J. Baddoo +4 more
semanticscholar +1 more source
Vestnik KRAUNC: Fiziko-Matematičeskie Nauki, 2020 Актуальность работы обусловлена необходимостью поиска путей повышения эффективности работы, а также совершенствование математического и программного обеспечения процедур оптимального развития трубопроводных сетей, поэтому в данной статье основное ...
Хуррамова, Р.И. +1 more
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Sensors, 2021 Coronavirus (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has been identified as a deadly pandemic. The genomic analysis of SARS-CoV-2 is performed using a reverse transcription-polymerase chain reaction (RT-PCR)
Dalal A. Aloraini +4 more
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In-Plane and Out-of-Plane MEMS Piezoresistive Cantilever Sensors for Nanoparticle Mass Detection
Sensors, 2020 In this study, we investigate the performance of two piezoresistive micro-electro-mechanical system (MEMS)-based silicon cantilever sensors for measuring target analytes (i.e., ultrafine particulate matters).
Andi Setiono +11 more
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