Results 1 to 10 of about 4,803,305 (187)
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
doaj +2 more sources
Randomized Local Model Order Reduction [PDF]
SIAM Journal on Scientific Computing, 2018 In this paper we propose local approximation spaces for localized model order reduction procedures such as domain decomposition and multiscale methods.
Buhr, Andreas, Smetana, Kathrin
core +5 more sources
Parametric Model Order Reduction using pyMOR [PDF]
, 2020 pyMOR is a free software library for model order reduction that includes both reduced basis and system-theoretic methods. All methods are implemented in terms of abstract vector and operator interfaces, which allows direct integration of pyMOR's ...
Mlinarić, P., Rave, S., Saak, J.
core +4 more sources
Model Order Reduction: A Comparison between Integer and Non-Integer Order Systems Approaches [PDF]
Entropy, 2019 In this paper, classical and non-integer model order reduction methodologies are compared. Non integer order calculus has been used to generalize many classical control strategies. The property of compressing information in modelling systems, distributed
Riccardo Caponetto +3 more
doaj +2 more sources
Physics-informed two-tier neural network for non-linear model order reduction [PDF]
Advanced Modeling and Simulation in Engineering SciencesIn recent years, machine learning (ML) has had a great impact in the area of non-intrusive, non-linear model order reduction (MOR). However, the offline training phase often still entails high computational costs since it requires numerous, expensive ...
Yankun Hong, Harshit Bansal, Karen Veroy
doaj +3 more sources
Model order reduction for left ventricular mechanics via congruency training. [PDF]
PLoS ONE, 2020 Computational models of the cardiovascular system and specifically heart function are currently being investigated as analytic tools to assist medical practice and clinical trials.
Paolo Di Achille +5 more
doaj +2 more sources
Model Order Reduction for Nonlinear Schr\"odinger Equation [PDF]
Applied Mathematics and Computation, 2014 We apply the proper orthogonal decomposition (POD) to the nonlinear Schr\"odinger (NLS) equation to derive a reduced order model. The NLS equation is discretized in space by finite differences and is solved in time by structure preserving symplectic mid ...
Akkoyunlu, Canan +2 more
core +4 more sources
GENETIC ALGORITHM-PID CONTROLLER FOR MODEL ORDER REDUCTION PANTOGRAPHCATENARY SYSTEM [PDF]
Applied Computer Science, 2021 Controlling the contact force between the pantograph and the catenary has come to be a requirement for improving the performances and affectivity of high-speed train systems Indeed, these performances can also significantly be decreased due to the fact ...
Nasir A. AL-AWAD +2 more
doaj +3 more sources
Active-learning-based nonintrusive model order reduction
Data-Centric Engineering, 2023 Model order reduction (MOR) can provide low-dimensional numerical models for fast simulation. Unlike intrusive methods, nonintrusive methods are attractive because they can be applied even without access to full order models (FOMs).
Qinyu Zhuang +3 more
doaj +1 more source
Statistically Inspired Passivity Preserving Model Order Reduction
IEEE Access, 2023 The continuous scaling of the on-chip devices and interconnects increases the complexity of the design space and becomes a crucial factor in the fabrication of modern integrated circuits.
Namra Akram +3 more
doaj +1 more source