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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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A non-intrusive neural network model order reduction algorithm for parameterized parabolic PDEs

Computers & mathematics with applications (1987), 2022-08, Vol.119, p.59-67

2022

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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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Reduced-order model approximation of fuzzy switched systems with pre-specified performance

Information sciences, 2016-11, Vol.370-371, p.538-550

2016

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Regression-based reduced-order models to predict transient thermal output for enhanced geothermal systems

Geothermics, 2017-11, Vol.70 (C), p.192-205

2017

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A novel order diminution of LTI systems using Big Bang Big Crunch optimization and Routh Approximation

Applied mathematical modelling, 2013-09, Vol.37 (16-17), p.8016-8028

2013

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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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Multi-physics dynamics of a mechanical oscillator coupled to an electro-magnetic circuit

International journal of non-linear mechanics, 2015-04, Vol.70, p.153-164

2015

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Strong and weak constraint variational assimilations for reduced order fluid flow modeling

Journal of computational physics, 2012-04, Vol.231 (8), p.3264-3288

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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Euclidean space controllability of singularly perturbed linear systems with state delay

Systems & control letters, 2001, Vol.43 (3), p.181-191

Glizer, Valery Y.

2001

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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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A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder

Journal of computational physics, 2022-02, Vol.451, p.110841, Article 110841

2022

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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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An artificial neural network framework for reduced order modeling of transient flows

Communications in nonlinear science & numerical simulation, 2019-10, Vol.77 (C), p.271-287

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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Output synchronization of wide-area heterogeneous multi-agent systems over intermittent clustered networks

Information sciences, 2023-01, Vol.619, p.263-275

2023

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Model reduction of dynamical systems on nonlinear manifolds using deep convolutional autoencoders

Journal of computational physics, 2020-03, Vol.404, p.108973, Article 108973

2020

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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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Evaluation and observability analysis of an improved reduced-order electrochemical model for lithium-ion battery

Electrochimica acta, 2021-02, Vol.368, p.137604, Article 137604

2021

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Space–time reduced order model for large-scale linear dynamical systems with application to Boltzmann transport problems

Journal of computational physics, 2021-01, Vol.424, p.109845, Article 109845

2021

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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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A multifidelity deep operator network approach to closure for multiscale systems

A non-intrusive neural network model order reduction algorithm for parameterized parabolic PDEs

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

Reduced-order model approximation of fuzzy switched systems with pre-specified performance

Regression-based reduced-order models to predict transient thermal output for enhanced geothermal systems

A novel order diminution of LTI systems using Big Bang Big Crunch optimization and Routh Approximation

Robust control design for an industrial wind turbine with HIL simulations

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

Multi-physics dynamics of a mechanical oscillator coupled to an electro-magnetic circuit

Strong and weak constraint variational assimilations for reduced order fluid flow modeling

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

Euclidean space controllability of singularly perturbed linear systems with state delay

Subspace Based Identification of Broadband Electrical Models from Frequency Response Data

A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder

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

An artificial neural network framework for reduced order modeling of transient flows

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

Output synchronization of wide-area heterogeneous multi-agent systems over intermittent clustered networks

Model reduction of dynamical systems on nonlinear manifolds using deep convolutional autoencoders

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

Evaluation and observability analysis of an improved reduced-order electrochemical model for lithium-ion battery

Space–time reduced order model for large-scale linear dynamical systems with application to Boltzmann transport problems

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

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