Global Self-optimizing Control with Active-set Changes: A Polynomial Chaos Approach

Computers & Chemical Engineering ◽

10.1016/j.compchemeng.2022.107662 ◽

2022 ◽

pp. 107662

Author(s):

Lingjian Ye ◽

Yi Cao ◽

Shuanghua Yang

Keyword(s):

Polynomial Chaos ◽

Optimizing Control

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Self-optimizing control with active set changes

Journal of Process Control ◽

10.1016/j.jprocont.2012.02.015 ◽

2012 ◽

Vol 22 (5) ◽

pp. 873-883 ◽

Author(s):

Henrik Manum ◽

Sigurd Skogestad

Keyword(s):

Optimizing Control

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SURROGATE MODELING FOR STOCHASTIC DYNAMICAL SYSTEMS BY COMBINING NONLINEAR AUTOREGRESSIVE WITH EXOGENOUS INPUT MODELS AND POLYNOMIAL CHAOS EXPANSIONS

International Journal for Uncertainty Quantification ◽

10.1615/int.j.uncertaintyquantification.2016016603 ◽

2016 ◽

Vol 6 (4) ◽

pp. 313-339 ◽

Author(s):

Chu V. Mai ◽

Minas D. Spiridonakos ◽

Eleni N. Chatzi ◽

Bruno Sudret

Keyword(s):

Dynamical Systems ◽

Polynomial Chaos ◽

Surrogate Modeling ◽

Stochastic Dynamical Systems ◽

Polynomial Chaos Expansions ◽

Nonlinear Autoregressive

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UNCERTAINTY QUANTIFICATION FOR NATURAL CONVECTION IN RANDOM POROUS MEDIA WITH INTRUSIVE POLYNOMIAL CHAOS EXPANSION

Journal of Porous Media ◽

10.1615/jpormedia.2020033288 ◽

2020 ◽

Vol 23 (7) ◽

pp. 641-661

Author(s):

Changwei Jiang ◽

Yi Jiang ◽

Er Shi

Keyword(s):

Porous Media ◽

Natural Convection ◽

Uncertainty Quantification ◽

Polynomial Chaos ◽

Polynomial Chaos Expansion ◽

Chaos Expansion ◽

Random Porous Media

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Uncertainty Quantification of Transonic Nozzle Flow by Polynomial Chaos Expansion

JOURNAL OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES ◽

10.2322/jjsass.65.151 ◽

2017 ◽

Vol 65 (4) ◽

pp. 151-156

Author(s):

Koji MIYAJI ◽

Tota UENO ◽

Yasumi KAWAMURA

Keyword(s):

Uncertainty Quantification ◽

Polynomial Chaos ◽

Polynomial Chaos Expansion ◽

Nozzle Flow ◽

Chaos Expansion

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Self-optimizing control structure selection via differentiation

2003 European Control Conference (ECC) ◽

10.23919/ecc.2003.7086475 ◽

2003 ◽

Author(s):

Yi Cao

Keyword(s):

Control Structure ◽

Structure Selection ◽

Optimizing Control

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Generalized Polynomial Chaos Based Stochastic Collocation on the Uncertainty Quantification of CMOS Active Filter Circuits

2019 11th International Conference on Electrical and Electronics Engineering (ELECO) ◽

10.23919/eleco47770.2019.8990660 ◽

2019 ◽

Author(s):

Mecit Emre Duman ◽

Onder Suvak

Keyword(s):

Uncertainty Quantification ◽

Polynomial Chaos ◽

Active Filter ◽

Stochastic Collocation ◽

Generalized Polynomial Chaos ◽

Generalized Polynomial

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Bayesian Updates to Probabilistic Aircraft Models in Generalized Polynomial Chaos Form from Measured Data

AIAA Scitech 2021 Forum ◽

10.2514/6.2021-1365 ◽

2021 ◽

Author(s):

Michael D. DeVore ◽

Jared Cooper ◽

Adam Reed

Keyword(s):

Polynomial Chaos ◽

Measured Data ◽

Generalized Polynomial Chaos ◽

Generalized Polynomial

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Improved Self-optimizing Control Method Based on Piece-wise Linearization

ACTA AUTOMATICA SINICA ◽

10.3724/sp.j.1004.2013.01231 ◽

2014 ◽

Vol 39 (8) ◽

pp. 1231-1237

Author(s):

Ling-Jian YE ◽

Wei-Hong ZHONG ◽

Zhi-Huan SONG

Keyword(s):

Control Method ◽

Optimizing Control

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Study on locomotive optimizing control based on genetic agorithm

JOURNAL OF ELECTRONIC MEASUREMENT AND INSTRUMENT ◽

10.3724/sp.j.1187.2013.00604 ◽

2014 ◽

Vol 27 (7) ◽

pp. 604-609

Author(s):

Yong Zhang ◽

Nanlin Tan

Keyword(s):

Optimizing Control

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Stochastic Modeling of Flow-Structure Interactions using Generalized Polynomial Chaos

10.21236/ada461832 ◽

2001 ◽

Author(s):

Dongbin Xiu ◽

Didier Lucor ◽

C. Su ◽

George E. Karniadakis

Keyword(s):

Flow Structure ◽

Stochastic Modeling ◽

Polynomial Chaos ◽

Generalized Polynomial Chaos ◽

Generalized Polynomial

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