Joint State and Dynamics Estimation With High-Gain Observers and Gaussian Process Models

IEEE Control Systems Letters ◽

10.1109/lcsys.2020.3042412 ◽

2021 ◽

Vol 5 (5) ◽

pp. 1627-1632

Author(s):

Mona Buisson-Fenet ◽

Valery Morgenthaler ◽

Sebastian Trimpe ◽

Florent Di Meglio

Keyword(s):

Gaussian Process ◽

High Gain ◽

Process Models ◽

Gaussian Process Models ◽

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Joint state and dynamics estimation with high-gain observers and Gaussian process models

2021 American Control Conference (ACC) ◽

10.23919/acc50511.2021.9482714 ◽

2021 ◽

Author(s):

Mona Buisson-Fenet ◽

Valery Morgenthaler ◽

Sebastian Trimpe ◽

Florent di Meglio

Keyword(s):

Gaussian Process ◽

High Gain ◽

Process Models ◽

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 ◽

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 ◽

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 ◽

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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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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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 ◽

Author(s):

Rainer Palm

Keyword(s):

Gaussian Process ◽

Control Systems ◽

Process Models ◽

Fuzzy Models ◽

Gaussian Process Models ◽

Multiple Step Ahead Prediction ◽

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Accelerated learning using Gaussian process models to predict static recrystallization in an Al-Mg alloy

Modelling and Simulation in Materials Science and Engineering ◽

10.1088/0965-0393/8/5/304 ◽

2000 ◽

Vol 8 (5) ◽

pp. 687-706 ◽

Author(s):

T J Sabin ◽

C A L Bailer-Jones ◽

P J Withers

Keyword(s):

Gaussian Process ◽

Static Recrystallization ◽

Process Models ◽

Accelerated Learning ◽

Mg Alloy ◽

Gaussian Process Models

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Bayesian nonstationary Gaussian process models via treed process convolutions

Advances in Data Analysis and Classification ◽

10.1007/s11634-018-0341-2 ◽

2018 ◽

Vol 13 (3) ◽

pp. 797-818

Author(s):

Waley W. J. Liang ◽

Herbert K. H. Lee

Keyword(s):

Gaussian Process ◽

Process Models ◽

Gaussian Process Models ◽

Process Convolutions

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