Model Predictive Control of an SP-100 Space Reactor Using Support Vector Regression and Genetic Optimization

IEEE Transactions on Nuclear Science ◽

10.1109/tns.2006.876517 ◽

2006 ◽

Vol 53 (4) ◽

pp. 2318-2327 ◽

Author(s):

M.G. Na ◽

B.R. Upadhyaya

Keyword(s):

Model Predictive Control ◽

Support Vector Regression ◽

Predictive Control ◽

Support Vector ◽

Genetic Optimization ◽

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Data-driven model predictive control for power demand management and fast demand response of commercial buildings using support vector regression

Building Simulation ◽

10.1007/s12273-021-0811-x ◽

2021 ◽

Author(s):

Rui Tang ◽

Cheng Fan ◽

Fanzhe Zeng ◽

Wei Feng

Keyword(s):

Model Predictive Control ◽

Support Vector Regression ◽

Predictive Control ◽

Demand Response ◽

Demand Management ◽

Commercial Buildings ◽

Data Driven ◽

Support Vector ◽

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Support Vector Regression based Nonlinear Model Predictive Control on FPGA

10.26678/abcm.cobem2017.cob17-1772 ◽

2017 ◽

Author(s):

Carlos Eduardo Silva Santos ◽

CARLOS H Llanos ◽

Ricardo Jacobi ◽

Leandro Coelho ◽

Helon Vicente Hultmann Ayala ◽

...

Keyword(s):

Model Predictive Control ◽

Support Vector Regression ◽

Predictive Control ◽

Nonlinear Model ◽

Nonlinear Model Predictive Control ◽

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A Support Vector Regression Based Model Predictive Control for Volt-Var Optimization of Distribution Systems

IEEE Access ◽

10.1109/access.2019.2928173 ◽

2019 ◽

Vol 7 ◽

pp. 93352-93363 ◽

Author(s):

Ebrahim Pourjafari ◽

Marek Reformat

Keyword(s):

Model Predictive Control ◽

Support Vector Regression ◽

Predictive Control ◽

Distribution Systems ◽

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Adaptive Nonlinear Model Predictive Control Using an On-line Support Vector Regression Updating Strategy

Chinese Journal of Chemical Engineering ◽

10.1016/j.cjche.2014.05.004 ◽

2014 ◽

Vol 22 (7) ◽

pp. 774-781 ◽

Author(s):

Ping Wang ◽

Chaohe Yang ◽

Xuemin Tian ◽

Dexian Huang

Keyword(s):

Model Predictive Control ◽

Support Vector Regression ◽

Predictive Control ◽

Nonlinear Model ◽

Nonlinear Model Predictive Control ◽

Support Vector ◽

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Nonlinear model predictive control based on support vector regression

Proceedings. International Conference on Machine Learning and Cybernetics ◽

10.1109/icmlc.2002.1167494 ◽

2003 ◽

Author(s):

Qi Miao ◽

Shi-Fu Wang

Keyword(s):

Model Predictive Control ◽

Support Vector Regression ◽

Predictive Control ◽

Nonlinear Model ◽

Nonlinear Model Predictive Control ◽

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Support Vector Regression Model Predictive Control Based on LM Algorithm and BA

2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) ◽

10.1109/iaeac47372.2019.8997855 ◽

2019 ◽

Author(s):

Haoran Xu ◽

Jizheng Chu ◽

Kebing Lu

Keyword(s):

Model Predictive Control ◽

Regression Model ◽

Support Vector Regression ◽

Predictive Control ◽

Support Vector ◽

Support Vector Regression Model ◽

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Support vector regression model predictive control on a HVAC plant

Control Engineering Practice ◽

10.1016/j.conengprac.2006.10.010 ◽

2007 ◽

Vol 15 (8) ◽

pp. 897-908 ◽

Author(s):

Xue-Cheng Xi ◽

Aun-Neow Poo ◽

Siaw-Kiang Chou

Keyword(s):

Model Predictive Control ◽

Regression Model ◽

Support Vector Regression ◽

Predictive Control ◽

Support Vector ◽

Support Vector Regression Model

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Generic Model Predictive Control Strategy Based on Integrated Weighted Least Square Support Vector Machines

2009 Second International Symposium on Computational Intelligence and Design ◽

10.1109/iscid.2009.201 ◽

2009 ◽

Author(s):

Dai Yongbin ◽

Yang Weidong ◽

Liang Qinghua ◽

Wang Shaofu ◽

Zhang Ming

Keyword(s):

Support Vector Machines ◽

Model Predictive Control ◽

Predictive Control ◽

Control Strategy ◽

Least Square ◽

Support Vector ◽

Generic Model ◽

Weighted Least Square ◽

Vector Machines

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Performance comparison of nonlinear model predictive control under Support Vector Machines and Multi-Layer Perceptrons

10.1109/cvci54083.2021.9661265 ◽

2021 ◽

Author(s):

Shen Xuyu ◽

Meng Fei ◽

Qi Shili

Keyword(s):

Support Vector Machines ◽

Model Predictive Control ◽

Predictive Control ◽

Nonlinear Model ◽

Performance Comparison ◽

Nonlinear Model Predictive Control ◽

Support Vector ◽

Vector Machines

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An adaptive fuzzy predictive control of nonlinear processes based on Multi-Kernel least squares support vector regression

Applied Soft Computing ◽

10.1016/j.asoc.2018.08.044 ◽

2018 ◽

Vol 73 ◽

pp. 572-590 ◽

Author(s):

I. Boulkaibet ◽

K. Belarbi ◽

S. Bououden ◽

M. Chadli ◽

T. Marwala

Keyword(s):

Least Squares ◽

Support Vector Regression ◽

Predictive Control ◽

Support Vector ◽

Nonlinear Processes ◽

Adaptive Fuzzy ◽

Fuzzy Predictive Control

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