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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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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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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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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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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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Nonlinear dynamics of an acoustically compact orifice

Journal of sound and vibration, 2024-08, p.118660, Article 118660

2024

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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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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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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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Consensus of linear multi-agent systems with reduced-order observer-based protocols

Systems & control letters, 2011-07, Vol.60 (7), p.510-516

2011

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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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A local basis approximation approach for nonlinear parametric model order reduction

Journal of sound and vibration, 2021-06, Vol.502 (C), p.116055, Article 116055

2021

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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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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

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

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

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

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

Nonlinear dynamics of an acoustically compact orifice

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

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

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

Consensus of linear multi-agent systems with reduced-order observer-based protocols

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

A local basis approximation approach for nonlinear parametric model order reduction

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

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