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A multifidelity deep operator network approach to closure for multiscale systems

Computer methods in applied mechanics and engineering, 2023-09, Vol.414, p.116161, Article 116161

2023

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State relevance and modal analysis in electrical microgrids with high penetration of electronic generation

International journal of electrical power & energy systems, 2023-05, Vol.147, p.108876, Article 108876

2023

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A reduced-order approach to filtering for systems with linear equality constraints

Neurocomputing (Amsterdam), 2016-06, Vol.193, p.219-226

2016

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Robust control design for an industrial wind turbine with HIL simulations

ISA transactions, 2020-08, Vol.103, p.252-265

2020

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Rapid generation of entry trajectories with waypoint and no-fly zone constraints

Acta astronautica, 2012-08, Vol.77, p.167-181

2012

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GPGPU accelerated Krylov methods for compact modeling of on-chip passive integrated structures within the Chameleon-RF workflow

Egyptian informatics journal, 2012-11, Vol.13 (3), p.171-176

Gim, Sebastian

2012

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Robust reduced-order l2−l∞ filtering for network-based discrete-time linear systems

Signal processing, 2015-04, Vol.109, p.110-118

2015

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Subspace Based Identification of Broadband Electrical Models from Frequency Response Data

International journal of electronics and communications, 2003, Vol.57 (2), p.147-153

2003

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Koopman operator-based model reduction for switched-system control of PDEs

Automatica (Oxford), 2019-08, Vol.106, p.184-191

2019

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Protocol-based filtering for fuzzy Markov affine systems with switching chain

Automatica (Oxford), 2022-07, Vol.141, p.110321, Article 110321

2022

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Reduced-order interval observer based consensus for MASs with time-varying interval uncertainties

Automatica (Oxford), 2022-01, Vol.135, p.109989, Article 109989

2022

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A comparison of neural network architectures for data-driven reduced-order modeling

Computer methods in applied mechanics and engineering, 2022-04, Vol.393, p.114764, Article 114764

2022

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Direct computation of nonlinear mapping via normal form for reduced-order models of finite element nonlinear structures

Computer methods in applied mechanics and engineering, 2021-10, Vol.384, p.113957, Article 113957

2021

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The Adjoint Petrov–Galerkin method for non-linear model reduction

Computer methods in applied mechanics and engineering, 2020-06, Vol.365 (C), p.112991, Article 112991

2020

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Koopman dynamic-oriented deep learning for invariant subspace identification and full-state prediction of complex systems

Computer methods in applied mechanics and engineering, 2024-09, Vol.429, p.117071, Article 117071

2024

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Three-dimensional topology optimization of auxetic metamaterial using isogeometric analysis and model order reduction

Computer methods in applied mechanics and engineering, 2020-11, Vol.371, p.113306, Article 113306

2020

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Computation of damped nonlinear normal modes for large scale nonlinear systems in a self-adaptive modal subspace

Mechanical systems and signal processing, 2022-01, Vol.162, p.108082, Article 108082

2022

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Unsteady flow prediction from sparse measurements by compressed sensing reduced order modeling

Computer methods in applied mechanics and engineering, 2022-04, Vol.393, p.114800, Article 114800

2022

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Data-driven nonintrusive reduced order modeling for dynamical systems with moving boundaries using Gaussian process regression

Computer methods in applied mechanics and engineering, 2021-01, Vol.373, p.113495, Article 113495

2021

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Modeling and parametric identification of Hammerstein systems with time delay and asymmetric dead-zones using fractional differential equations

Mechanical systems and signal processing, 2022-03, Vol.167, p.108568, Article 108568

2022

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Numerical computation of nonlinear normal modes in a modal derivative subspace

Computers & structures, 2018-01, Vol.195, p.34-46

2018

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Oscillations of functionally graded microbeams

International journal of engineering science, 2017-01, Vol.110, p.35-53

2017

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Windowed space–time least-squares Petrov–Galerkin model order reduction for nonlinear dynamical systems

Computer methods in applied mechanics and engineering, 2021-12, Vol.386 (C), p.114050, Article 114050

2021

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The applications of POD method in dual rotor-bearing systems with coupling misalignment

Mechanical systems and signal processing, 2021-03, Vol.150, p.107236, Article 107236

2021

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Identification of nonlinear modes using phase-locked-loop experimental continuation and normal form

Mechanical systems and signal processing, 2018-06, Vol.106, p.430-452

2018

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A multifidelity deep operator network approach to closure for multiscale systems

State relevance and modal analysis in electrical microgrids with high penetration of electronic generation

A reduced-order approach to filtering for systems with linear equality constraints

Robust control design for an industrial wind turbine with HIL simulations

Rapid generation of entry trajectories with waypoint and no-fly zone constraints

GPGPU accelerated Krylov methods for compact modeling of on-chip passive integrated structures within the Chameleon-RF workflow

Robust reduced-order l2−l∞ filtering for network-based discrete-time linear systems

Subspace Based Identification of Broadband Electrical Models from Frequency Response Data

Koopman operator-based model reduction for switched-system control of PDEs

Protocol-based filtering for fuzzy Markov affine systems with switching chain

Reduced-order interval observer based consensus for MASs with time-varying interval uncertainties

A comparison of neural network architectures for data-driven reduced-order modeling

Direct computation of nonlinear mapping via normal form for reduced-order models of finite element nonlinear structures

The Adjoint Petrov–Galerkin method for non-linear model reduction

Koopman dynamic-oriented deep learning for invariant subspace identification and full-state prediction of complex systems

Three-dimensional topology optimization of auxetic metamaterial using isogeometric analysis and model order reduction

Computation of damped nonlinear normal modes for large scale nonlinear systems in a self-adaptive modal subspace

Unsteady flow prediction from sparse measurements by compressed sensing reduced order modeling

Data-driven nonintrusive reduced order modeling for dynamical systems with moving boundaries using Gaussian process regression

Modeling and parametric identification of Hammerstein systems with time delay and asymmetric dead-zones using fractional differential equations

Numerical computation of nonlinear normal modes in a modal derivative subspace

Oscillations of functionally graded microbeams

Windowed space–time least-squares Petrov–Galerkin model order reduction for nonlinear dynamical systems

The applications of POD method in dual rotor-bearing systems with coupling misalignment

Identification of nonlinear modes using phase-locked-loop experimental continuation and normal form

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