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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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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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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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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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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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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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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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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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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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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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Lagrangian dynamic mode decomposition for construction of reduced-order models of advection-dominated phenomena

Journal of computational physics, 2020-04, Vol.407, p.109229, Article 109229

2020

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Geometric considerations of a good dictionary for Koopman analysis of dynamical systems: Cardinality, “primary eigenfunction,” and efficient representation

Communications in nonlinear science & numerical simulation, 2021-09, Vol.100, p.105833, Article 105833

Bollt, Erik M.

2021

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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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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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Reduced-order electrochemical model for lithium-ion battery with domain decomposition and polynomial approximation methods

Energy (Oxford), 2021-04, Vol.221, p.119662, Article 119662

2021

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Multi-fidelity modeling framework for nonlinear unsteady aerodynamics of airfoils

Applied Mathematical Modelling, 2019-12, Vol.76, p.832-855

2019

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Optimal discrete-time unbiased filtering for systems with unknown inputs

Systems & control letters, 2022-08, Vol.166, p.105305, Article 105305

2022

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Modelling and flexible predictive control of buildings space-heating demand in district heating systems

Energy (Oxford), 2019-12, Vol.188, p.116042, Article 116042

2019

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Distributed optimization for interconnected nonlinear multi-agent systems via output feedback

Journal of the Franklin Institute, 2024-09, Vol.361 (13), p.107035, Article 107035

2024

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Model-order reduction of lumped parameter systems via fractional calculus

Journal of sound and vibration, 2018-04, Vol.419, p.526-543

2018

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Identification of complex non-linear modes of mechanical systems using the Hilbert-Huang transform from free decay responses

Journal of sound and vibration, 2021-03, Vol.495, p.115912, Article 115912

2021

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Integrating multi-fidelity blood flow data with reduced-order data assimilation

Computers in biology and medicine, 2021-08, Vol.135, p.104566-104566, Article 104566

2021

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

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

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

Euclidean space controllability of singularly perturbed linear systems with state delay

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

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

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

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

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

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

Lagrangian dynamic mode decomposition for construction of reduced-order models of advection-dominated phenomena

Geometric considerations of a good dictionary for Koopman analysis of dynamical systems: Cardinality, “primary eigenfunction,” and efficient representation

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

A local basis approximation approach for nonlinear parametric model order reduction

Reduced-order electrochemical model for lithium-ion battery with domain decomposition and polynomial approximation methods

Multi-fidelity modeling framework for nonlinear unsteady aerodynamics of airfoils

Optimal discrete-time unbiased filtering for systems with unknown inputs

Modelling and flexible predictive control of buildings space-heating demand in district heating systems

Distributed optimization for interconnected nonlinear multi-agent systems via output feedback

Model-order reduction of lumped parameter systems via fractional calculus

Identification of complex non-linear modes of mechanical systems using the Hilbert-Huang transform from free decay responses

Integrating multi-fidelity blood flow data with reduced-order data assimilation

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