Explicit stochastic predictive control of combustion plants based on Gaussian process models

Alexandra Grancharova; Juš Kocijan; Tor A. Johansen

doi:10.1016/j.automatica.2008.04.002

Explicit stochastic predictive control of combustion plants based on Gaussian process models

Automatica ◽

10.1016/j.automatica.2008.04.002 ◽

2008 ◽

Vol 44 (6) ◽

pp. 1621-1631 ◽

Cited By ~ 52

Author(s):

Alexandra Grancharova ◽

Juš Kocijan ◽

Tor A. Johansen

Keyword(s):

Gaussian Process ◽

Predictive Control ◽

Process Models ◽

Gaussian Process Models

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Online learning‐based model predictive control with Gaussian process models and stability guarantees

International Journal of Robust and Nonlinear Control ◽

10.1002/rnc.5361 ◽

2021 ◽

Author(s):

Michael Maiworm ◽

Daniel Limon ◽

Rolf Findeisen

Keyword(s):

Online Learning ◽

Model Predictive Control ◽

Gaussian Process ◽

Predictive Control ◽

Process Models ◽

Gaussian Process Models

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Predictive control with Gaussian process models

The IEEE Region 8 EUROCON 2003 Computer as a Tool EUROCON-03 ◽

10.1109/eurcon.2003.1248042 ◽

2004 ◽

Cited By ~ 18

Author(s):

J. Kocijan ◽

R. Murray-Smith ◽

C.E. Rasmussen ◽

B. Likar

Keyword(s):

Gaussian Process ◽

Predictive Control ◽

Process Models ◽

Gaussian Process Models

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Risk-Sensitive Model Predictive Control with Gaussian Process Models**This research was supported by EU Framework Programme 7, project 314544, RECONFIGURE: Reconfiguration of Control in Flight for Integral Global Upset Recovery, the Cambridge Overseas Trust, and by the China Scholarship Council.

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2015.12.156 ◽

2015 ◽

Vol 48 (28) ◽

pp. 374-379 ◽

Cited By ~ 4

Author(s):

Xiaoke Yang ◽

Jan Maciejowski

Keyword(s):

Model Predictive Control ◽

Gaussian Process ◽

Predictive Control ◽

Process Models ◽

Framework Programme ◽

Risk Sensitive ◽

Gaussian Process Models

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Explicit stochastic Nonlinear Predictive Control based on Gaussian process models

2007 European Control Conference (ECC) ◽

10.23919/ecc.2007.7068422 ◽

2007 ◽

Cited By ~ 10

Author(s):

Alexandra Grancharova ◽

Jus Kocijan ◽

Tor A. Johansen

Keyword(s):

Gaussian Process ◽

Predictive Control ◽

Process Models ◽

Nonlinear Predictive Control ◽

Gaussian Process Models

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Identification of Continuous-time Nonlinear Systems via Local Gaussian Process Models

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.134.1708 ◽

2014 ◽

Vol 134 (11) ◽

pp. 1708-1715

Author(s):

Tomohiro Hachino ◽

Kazuhiro Matsushita ◽

Hitoshi Takata ◽

Seiji Fukushima ◽

Yasutaka Igarashi

Keyword(s):

Nonlinear Systems ◽

Gaussian Process ◽

Continuous Time ◽

Process Models ◽

Gaussian Process Models

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Deep Gaussian Process Models for Integrating Multifidelity Experiments with Non-stationary Relationships

IISE Transactions ◽

10.1080/24725854.2021.1931572 ◽

2021 ◽

pp. 1-28

Author(s):

Jongwoo Ko ◽

Heeyoung Kim

Keyword(s):

Gaussian Process ◽

Process Models ◽

Gaussian Process Models

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A hierarchical training and identification method using Gaussian process models for face recognition in videos

2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG) ◽

10.1109/fg.2015.7163097 ◽

2015 ◽

Cited By ~ 2

Author(s):

Negar Hassanpour ◽

Liang Chen

Keyword(s):

Face Recognition ◽

Gaussian Process ◽

Process Models ◽

Identification Method ◽

Gaussian Process Models

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Composite Gaussian process models for emulating expensive functions

The Annals of Applied Statistics ◽

10.1214/12-aoas570 ◽

2012 ◽

Vol 6 (4) ◽

pp. 1838-1860 ◽

Cited By ~ 49

Author(s):

Shan Ba ◽

V. Roshan Joseph

Keyword(s):

Gaussian Process ◽

Process Models ◽

Gaussian Process Models

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Kernel discriminant analysis and clustering with parsimonious Gaussian process models

Statistics and Computing ◽

10.1007/s11222-014-9505-x ◽

2014 ◽

Vol 25 (6) ◽

pp. 1143-1162 ◽

Cited By ~ 4

Author(s):

C. Bouveyron ◽

M. Fauvel ◽

S. Girard

Keyword(s):

Discriminant Analysis ◽

Gaussian Process ◽

Process Models ◽

Kernel Discriminant Analysis ◽

Gaussian Process Models

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Multiple-step-ahead prediction in control systems with Gaussian process models and TS-fuzzy models

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2007.02.003 ◽

2007 ◽

Vol 20 (8) ◽

pp. 1023-1035 ◽

Cited By ~ 19

Author(s):

Rainer Palm

Keyword(s):

Gaussian Process ◽

Control Systems ◽

Process Models ◽

Fuzzy Models ◽

Gaussian Process Models ◽

Multiple Step Ahead Prediction ◽

Multiple Step

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