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Reduced order modeling and model order reduction for continuum manipulators: an overview

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, S. Elnaz Naghibi, Lyndon da Cruz, Lyndon da Cruz, Christos Bergeles   +4 more
doaj   +3 more sources

Tackling High Dimensionality in QSP: Guiding Model Order Reduction With Index Analysis [PDF]

CPT: Pharmacometrics & Systems Pharmacology
Quantitative systems pharmacology (QSP) models offer a useful platform to integrate drug pharmacology with knowledge about biological mechanisms across multiple scales and data sources into a unified quantitative framework.
Johannes Tillil, Wilhelm Huisinga, Jane Knöchel   +2 more
doaj   +2 more sources

A novel Hankel norm approximation-based AGC for a hydro-dominated power system [PDF]

Scientific Reports
Analyzing power system disturbances for automatic generation control (AGC) requires solving a large set of differential equations, which remains computationally demanding even in linearized form and hence limits the practical implementation of most ...
Sadaf Naqvi, Ibraheem, Gulshan Sharma, Rajesh Kumar, Sachin Sharma   +4 more
doaj   +2 more sources

Physics-informed two-tier neural network for non-linear model order reduction [PDF]

Advanced Modeling and Simulation in Engineering Sciences
In 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   +2 more sources

p(t)MOR: Time-Varying Parametric Model Order Reduction and Applications for Moving Loads

IFAC-PapersOnLine, 2015
Maria Cruz Varona, Matthias Geuss, Boris Lohmann   +2 more
openaire   +3 more sources

A Block Arnoldi Algorithm Based Reduced-Order Model Applied to Large-Scale Algebraic Equations of a 3-D Field Problem

Applied Sciences, 2021
In simulations of three-dimensional transient physics filled through a numerical approach, the order of the equation set of high-fidelity models is extremely high.
Ning Wang, Jiajia Chen, Huifang Wang, Shiyou Yang   +3 more
doaj   +1 more source

Fast model-based design of high performance permanent magnet machine for next generation electric propulsion for urban aerial vehicle application

CES Transactions on Electrical Machines and Systems, 2021
Model order reduction (MOR) is considered as a good alternative to reduce the computational scale for electro-magnetic problems. The aim of this work is to introduce the use of dynamic mode decomposition (DMD) as a promising tool for MOR to analyze its ...
Sarbajit Paul, Junghwan Chang
doaj   +1 more source

H2 model order reduction of bilinear systems via linear matrix inequality approach

IET Control Theory & Applications, 2023
This paper proposes an H2‐optimal model order reduction (MOR) method for bilinear systems based on the linear matrix inequality (LMI) approach. In this method, to reduce the computational complexity, at first, a reduced middle‐order approximation of the ...
Hasan Nasiri Soloklo, Nooshin Bigdeli
doaj   +1 more source

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, Dirk Hartmann, Hans-J. Bungartz, Juan M. Lorenzi   +3 more
doaj   +1 more source

A Broadband Enhanced Structure-Preserving Reduced-Order Interconnect Macromodeling Method for Large-Scale Equation Sets of Transient Interconnect Circuit Problems

Energies, 2020
In the transient analysis of an engineering power electronics device, the order of its equivalent circuit model is excessive large. To eliminate this issue, some model order reduction (MOR) methods are proposed in the literature.
Ning Wang, Huifang Wang, Shiyou Yang
doaj   +1 more source