Generalized self-tuning regulator based on online support vector regression

Neural Computing and Applications ◽

10.1007/s00521-016-2387-4 ◽

2016 ◽

Vol 28 (S1) ◽

pp. 775-801 ◽

Author(s):

Kemal Uçak ◽

Gülay Öke Günel

Keyword(s):

Support Vector Regression ◽

Support Vector ◽

Online Support ◽

Online Support Vector Regression ◽

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Online Support Vector Regression Based Adaptive NARMA-L2 Controller for Nonlinear Systems

Neural Processing Letters ◽

10.1007/s11063-020-10403-8 ◽

2021 ◽

Author(s):

Kemal Uçak ◽

Gülay Öke Günel

Keyword(s):

Nonlinear Systems ◽

Support Vector Regression ◽

Support Vector ◽

Online Support ◽

Online Support Vector Regression

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Online Support Vector Regression Model for Short-term TrafficForecasting

Second International Multi-Symposiums on Computer and Computational Sciences (IMSCCS 2007) ◽

10.1109/imsccs.2007.4392662 ◽

2007 ◽

Author(s):

Haowei Su ◽

Ling Zhang ◽

Shu Yu

Keyword(s):

Regression Model ◽

Support Vector Regression ◽

Support Vector ◽

Online Support ◽

Support Vector Regression Model ◽

Online Support Vector Regression

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An incremental convex hull algorithm based online Support Vector Regression

2015 34th Chinese Control Conference (CCC) ◽

10.1109/chicc.2015.7260944 ◽

2015 ◽

Author(s):

Xujun Zhou ◽

Xianxia Zhang ◽

Bingfei Zhang

Keyword(s):

Convex Hull ◽

Support Vector Regression ◽

Support Vector ◽

Online Support ◽

Online Support Vector Regression ◽

Convex Hull Algorithm

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Online support vector regression based actor-critic method

IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society ◽

10.1109/iecon.2010.5675206 ◽

2010 ◽

Author(s):

Dong-Hyun Lee ◽

Jeong-Jung Kim ◽

Ju-Jang Lee

Keyword(s):

Support Vector Regression ◽

Support Vector ◽

Online Support ◽

Online Support Vector Regression

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Online Support Vector Regression With Varying Parameters for Time-Dependent Data

IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans ◽

10.1109/tsmca.2010.2055156 ◽

2011 ◽

Vol 41 (1) ◽

pp. 191-197 ◽

Author(s):

Olufemi A. Omitaomu ◽

Myong K. Jeong ◽

Adedeji B. Badiru

Keyword(s):

Support Vector Regression ◽

Time Dependent ◽

Dependent Data ◽

Support Vector ◽

Online Support ◽

Varying Parameters ◽

Online Support Vector Regression

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Modeling of the pH neutralization process using online support vector regression

Computer Science and Applications ◽

10.1201/b18508-88 ◽

2015 ◽

pp. 509-514

Author(s):

Li-guo Zhao ◽

Xian-xia Zhang

Keyword(s):

Support Vector Regression ◽

Support Vector ◽

Online Support ◽

Online Support Vector Regression ◽

Neutralization Process ◽

Ph Neutralization ◽

Ph Neutralization Process

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Online support vector regression with varying parameters for time-dependent data

Industrial Control Systems ◽

10.1201/b11224-13 ◽

2016 ◽

pp. 283-300

Keyword(s):

Support Vector Regression ◽

Time Dependent ◽

Dependent Data ◽

Support Vector ◽

Online Support ◽

Varying Parameters ◽

Online Support Vector Regression

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Adaptive Soft Sensor Model Using Online Support Vector Regression with Time Variable and Discussion of Appropriate Parameter Settings

Procedia Computer Science ◽

10.1016/j.procs.2013.09.138 ◽

2013 ◽

Vol 22 ◽

pp. 580-589 ◽

Author(s):

Hiromasa Kaneko ◽

Kimito Funatsu

Keyword(s):

Support Vector Regression ◽

Soft Sensor ◽

Time Variable ◽

Support Vector ◽

Online Support ◽

Sensor Model ◽

Online Support Vector Regression

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Multi-model adaptive soft sensor modeling method using local learning and online support vector regression for nonlinear time-variant batch processes

Chemical Engineering Science ◽

10.1016/j.ces.2015.03.038 ◽

2015 ◽

Vol 131 ◽

pp. 282-303 ◽

Author(s):

Huaiping Jin ◽

Xiangguang Chen ◽

Jianwen Yang ◽

Hua Zhang ◽

Li Wang ◽

...

Keyword(s):

Support Vector Regression ◽

Soft Sensor ◽

Modeling Method ◽

Batch Processes ◽

Support Vector ◽

Online Support ◽

Local Learning ◽

Online Support Vector Regression ◽

Sensor Modeling

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Adaptive soft sensor based on online support vector regression and Bayesian ensemble learning for various states in chemical plants

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2014.06.008 ◽

2014 ◽

Vol 137 ◽

pp. 57-66 ◽

Author(s):

Hiromasa Kaneko ◽

Kimito Funatsu

Keyword(s):

Support Vector Regression ◽

Ensemble Learning ◽

Soft Sensor ◽

Support Vector ◽

Online Support ◽

Chemical Plants ◽

Online Support Vector Regression

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