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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An Adaptive Fuzzy Predictive Control Based on Support Vector Regression

Advanced Control Engineering Methods in Electrical Engineering Systems - Lecture Notes in Electrical Engineering ◽

10.1007/978-3-319-97816-1_14 ◽

2018 ◽

pp. 182-197

Author(s):

I. Boulkaibet ◽

S. Bououden ◽

T. Marwala ◽

B. Twala ◽

A. Ali

Keyword(s):

Support Vector Regression ◽

Predictive Control ◽

Support Vector ◽

Adaptive Fuzzy ◽

Fuzzy Predictive Control

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Online wavelet least-squares support vector machine fuzzy predictive control for engine lambda regulation

International Journal of Engine Research ◽

10.1177/1468087415623909 ◽

2016 ◽

Vol 17 (8) ◽

pp. 866-885 ◽

Author(s):

Pak Kin Wong ◽

Hang Cheong Wong ◽

Chi Man Vong ◽

Ka In Wong

Keyword(s):

Support Vector Machine ◽

Least Squares ◽

Predictive Control ◽

Support Vector ◽

Fuzzy Predictive Control

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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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Improving the optimization efficiency and precision of least squares support vector regression (LSSVR) for pear property prediction

10.1117/12.865737 ◽

2010 ◽

Author(s):

Yong Hao ◽

Yande Liu ◽

Hailiang Zhang ◽

Xuemei Liu ◽

Yuanyuan Pan

Keyword(s):

Least Squares ◽

Support Vector Regression ◽

Support Vector ◽

Property Prediction ◽

Optimization Efficiency

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Rapid measurement method for lithium‐ion battery state of health estimation based on least squares support vector regression

International Journal of Energy Research ◽

10.1002/er.6194 ◽

2020 ◽

Author(s):

Bin Xiao ◽

Bing Xiao ◽

Luoshi Liu

Keyword(s):

Least Squares ◽

Support Vector Regression ◽

Lithium Ion Battery ◽

Measurement Method ◽

Lithium Ion ◽

Support Vector ◽

State Of Health ◽

Rapid Measurement

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Application of QSPR for prediction of percent conversion of esterification reactions in supercritical carbon dioxide using least squares support vector regression

The Journal of Supercritical Fluids ◽

10.1016/j.supflu.2010.04.007 ◽

2010 ◽

Vol 54 (2) ◽

pp. 222-230 ◽

Author(s):

M. Esteki ◽

M. Rezayat ◽

H.S. Ghaziaskar ◽

T. Khayamian

Keyword(s):

Carbon Dioxide ◽

Supercritical Carbon Dioxide ◽

Least Squares ◽

Support Vector Regression ◽

Support Vector ◽

Percent Conversion ◽

Esterification Reactions ◽

Supercritical Carbon

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Goodnews Bay Platinum Resource Estimation Using Least Squares Support Vector Regression with Selection of Input Space Dimension and Hyperparameters

Natural Resources Research ◽

10.1007/s11053-011-9140-6 ◽

2011 ◽

Vol 20 (2) ◽

pp. 117-129 ◽

Author(s):

Snehamoy Chatterjee ◽

Sukumar Bandopadhyay

Keyword(s):

Least Squares ◽

Support Vector Regression ◽

Space Dimension ◽

Support Vector ◽

Resource Estimation ◽

Input Space ◽

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An adaptive fuzzy combination model based on self-organizing map and support vector regression for electric load forecasting

Energy ◽

10.1016/j.energy.2011.10.034 ◽

2012 ◽

Vol 37 (1) ◽

pp. 657-664 ◽

Author(s):

Jinxing Che ◽

Jianzhou Wang ◽

Guangfu Wang

Keyword(s):

Support Vector Regression ◽

Load Forecasting ◽

Support Vector ◽

Electric Load ◽

Self Organizing Map ◽

Combination Model ◽

Adaptive Fuzzy ◽

Model Based ◽

Self Organizing ◽

Electric Load Forecasting

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New predictive control algorithms based on Least Squares Support Vector Machines

Journal of Zhejiang University SCIENCE A ◽

10.1631/jzus.2005.a0440 ◽

2005 ◽

Vol 6 (5) ◽

pp. 440-446 ◽

Author(s):

Liu Bin ◽

Su Hong-ye ◽

Chu Jian

Keyword(s):

Support Vector Machines ◽

Least Squares ◽

Predictive Control ◽

Control Algorithms ◽

Support Vector ◽

Vector Machines

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Regularized Least Squares Fuzzy Support Vector Regression for Time Series Forecasting

The 2006 IEEE International Joint Conference on Neural Network Proceedings ◽

10.1109/ijcnn.2006.246736 ◽

2006 ◽

Author(s):

Jayadeva ◽

R. Khemchandani ◽

S. Chandra

Keyword(s):

Time Series ◽

Least Squares ◽

Support Vector Regression ◽

Time Series Forecasting ◽

Support Vector ◽

Regularized Least Squares

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