Model reduction & manifold learning — Based parametric computational electromagnetism: Fundamentals & applications

2016 IEEE Conference on Electromagnetic Field Computation (CEFC) ◽

10.1109/cefc.2016.7816420 ◽

2016 ◽

Cited By ~ 1

Author(s):

Francisco Chinesta ◽

Jose Vicente Aguado ◽

Emmanuelle Abisset-Chavanne ◽

Anais Barasinski

Keyword(s):

Model Reduction ◽

Manifold Learning ◽

Computational Electromagnetism

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Nonlinear manifold learning for model reduction in finite elastodynamics

Computer Methods in Applied Mechanics and Engineering ◽

10.1016/j.cma.2013.04.007 ◽

2013 ◽

Vol 261-262 ◽

pp. 118-131 ◽

Cited By ~ 19

Author(s):

Daniel Millán ◽

Marino Arroyo

Keyword(s):

Model Reduction ◽

Manifold Learning

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An Online Manifold Learning Approach for Model Reduction of Dynamical Systems

SIAM Journal on Numerical Analysis ◽

10.1137/130927723 ◽

2014 ◽

Vol 52 (4) ◽

pp. 1928-1952 ◽

Cited By ~ 9

Author(s):

Liqian Peng ◽

Kamran Mohseni

Keyword(s):

Dynamical Systems ◽

Model Reduction ◽

Manifold Learning ◽

Learning Approach

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Constructing Intelligent Behaviors: Application of Manifold Learning Methods to Video Game

The Journal of the Institute of Electrical Engineers of Japan ◽

10.1541/ieejjournal.133.356 ◽

2013 ◽

Vol 133 (6) ◽

pp. 356-359

Author(s):

Hisashi HANDA

Keyword(s):

Manifold Learning ◽

Video Game ◽

Learning Methods

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Nonlinear Model Reduction by Moment Matching

10.1561/9781680833317 ◽

2017 ◽

Author(s):

Giordano Scarciotti ◽

Alessandro Astolfi

Keyword(s):

Model Reduction ◽

Nonlinear Model ◽

Moment Matching ◽

Nonlinear Model Reduction

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The Generalized Hessenberg Representation and Near Unobservability in Model Reduction

10.23919/acc.1983.4788152 ◽

1983 ◽

Cited By ~ 1

Author(s):

D. K. Lindner ◽

W. R. Perkins

Keyword(s):

Model Reduction

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Combined H2/H∞ Model Reduction

10.23919/acc.1989.4790639 ◽

1989 ◽

Author(s):

Wassim M. Haddad ◽

Dennis S. Bernstein

Keyword(s):

Model Reduction

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Model reduction for process control using iterative nonlinear identification

Proceedings of the 2004 American Control Conference ◽

10.23919/acc.2004.1384354 ◽

2004 ◽

Cited By ~ 1

Author(s):

A. Vargas ◽

F. Allgower

Keyword(s):

Process Control ◽

Model Reduction ◽

Nonlinear Identification

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Investigating the Underlying Dynamical Structure of Supersonic Flows Using Effective Model Reduction

2020 American Control Conference (ACC) ◽

10.23919/acc45564.2020.9147601 ◽

2020 ◽

Author(s):

Dan Wilson ◽

Samir Sahyoun ◽

Phil Kreth ◽

Seddik M. Djouadi

Keyword(s):

Model Reduction ◽

Supersonic Flows ◽

Effective Model ◽

Dynamical Structure

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Statistics manifold learning approach and its application to non-Gaussian process monitoring

2020 39th Chinese Control Conference (CCC) ◽

10.23919/ccc50068.2020.9189523 ◽

2020 ◽

Author(s):

Ping Cui ◽

Xuhong Wang ◽

Yupu Yang

Keyword(s):

Gaussian Process ◽

Process Monitoring ◽

Manifold Learning ◽

Learning Approach ◽

Non Gaussian

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Model reduction of state space systems via EN updating scheme

1997 European Control Conference (ECC) ◽

10.23919/ecc.1997.7082181 ◽

1997 ◽

Author(s):

Marko Huhtanen

Keyword(s):

Model Reduction ◽

State Space ◽

Space Systems ◽

State Space Systems

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