Results 1 to 10 of about 7,720,158 (325)
Reduced order modeling and model order reduction for continuum manipulators: an overview [PDF]
Frontiers in Robotics and AI, 2023 Soft robot’s natural dynamics calls for the development of tailored modeling techniques for control. However, the high-dimensional configuration space of the geometrically exact modeling approaches for soft robots, i.e., Cosserat rod and Finite Element ...
S.M.H. Sadati +4 more
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Reduced order modeling with shallow recurrent decoder networks [PDF]
Nature CommunicationsReduced order modeling is of paramount importance for efficiently inferring high-dimensional spatio-temporal fields in parametric contexts. However, conventional dimensionality reduction techniques are typically limited to known and constant parameters ...
Matteo Tomasetto +4 more
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Reduced-order modeling of soft robots. [PDF]
PLoS ONE, 2018 We present a general strategy for the modeling and simulation-based control of soft robots. Although the presented methodology is completely general, we restrict ourselves to the analysis of a model robot made of hyperelastic materials and actuated by ...
Jean Chenevier +4 more
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A DeepONet multi-fidelity approach for residual learning in reduced order modeling [PDF]
Advanced Modeling and Simulation in Engineering Sciences, 2023 In the present work, we introduce a novel approach to enhance the precision of reduced order models by exploiting a multi-fidelity perspective and DeepONets.
Nicola Demo +2 more
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Lagrangian Reduced Order Modeling Using Finite Time Lyapunov Exponents
Fluids, 2020 There are two main strategies for improving the projection-based reduced order model (ROM) accuracy—(i) improving the ROM, that is, adding new terms to the standard ROM; and (ii) improving the ROM basis, that is, constructing ROM bases that yield more ...
Xuping Xie +4 more
doaj +3 more sources
Reduced-order modeling of hidden dynamics [PDF]
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016 5 pages, 2 ...
Héas, Patrick, Herzet, Cédric
openaire +7 more sources
Reduced order modeling and analysis of the human complement system. [PDF]
PLoS ONE, 2017 Complement is an important pathway in innate immunity, inflammation, and many disease processes. However, despite its importance, there are few validated mathematical models of complement activation.
Adithya Sagar +4 more
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Data-assisted reduced-order modeling of extreme events in complex dynamical systems. [PDF]
PLoS One, 2018 The prediction of extreme events, from avalanches and droughts to tsunamis and epidemics, depends on the formulation and analysis of relevant, complex dynamical systems.
Wan ZY +3 more
europepmc +3 more sources
AEROM: NASA’s Unsteady Aerodynamic and Aeroelastic Reduced-Order Modeling Software [PDF]
Aerospace, 2018 The origins, development, implementation, and application of AEROM, NASA’s patented reduced-order modeling (ROM) software, are presented. Using the NASA FUN3D computational fluid dynamic (CFD) code, full and ROM aeroelastic solutions are computed at ...
Walter A. Silva
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Reduced-Order Modeling of Gust Responses [PDF]
Journal of Aircraft, 2017 This paper describes two approaches to the construction of reduced-order models from computational fluid dynamics to predict the gust response of airfoils and wings.
Wales, Christopher +2 more
openaire +6 more sources