A Recursive Method of Identification of Hammerstein Model Based on Least Squares Support Vector Machines

2008 ◽  
Vol 41 (2) ◽  
pp. 4993-4998
Author(s):  
Kun Chen ◽  
Haiqing Wang ◽  
Zhihuan Song
Keyword(s):  
Support Vector Machines ◽  
Least Squares ◽  
Hammerstein Model ◽  
Support Vector ◽  
Recursive Method ◽  
Model Based ◽  
Vector Machines

Identification of the Hammerstein model of a PEMFC stack based on least squares support vector machines

2008 ◽  
Vol 175 (1) ◽  
pp. 303-316 ◽  
Author(s):  
Chun-Hua Li ◽  
Xin-Jian Zhu ◽  
Guang-Yi Cao ◽  
Sheng Sui ◽  
Ming-Ruo Hu
Keyword(s):  
Support Vector Machines ◽  
Least Squares ◽  
Hammerstein Model ◽  
Support Vector ◽  
Vector Machines

scholarly journals Modeling and identification of heat exchanger process using least squares support vector machines

2017 ◽  
Vol 21 (6 Part B) ◽  
pp. 2859-2869 ◽  
Author(s):  
Mujahed Al-Dhaifallah ◽  
Kottakkaran Nisar ◽  
Praveen Agarwal ◽  
Alaa Elsayyad
Keyword(s):  
Heat Exchanger ◽  
Support Vector Machines ◽  
Least Squares ◽  
A Priori ◽  
Hammerstein Model ◽  
Support Vector ◽  
Tubular Heat Exchanger ◽  
Accuracy And Precision ◽  
Vector Machines ◽  
Narx Model

In this paper, Hammerstein model and non-linear autoregressive with eXogeneous inputs (NARX) model are used to represent tubular heat exchanger. Both models have been identified using least squares support vector machines based algorithms. Both algorithms were able to model the heat exchanger system with-out requiring any a priori assumptions regarding its structure. The results indicate that the blackbox NARX model outperforms the NARX Hammerstein model in terms of accuracy and precision.

Tool wear model based on least squares support vector machines and Kalman filter

2014 ◽  
Vol 8 (1-2) ◽  
pp. 101-109 ◽  
Author(s):  
Haiyan Zhang ◽  
Chen Zhang ◽  
Jilin Zhang ◽  
Laishui Zhou
Keyword(s):  
Kalman Filter ◽  
Support Vector Machines ◽  
Tool Wear ◽  
Least Squares ◽  
Support Vector ◽  
Wear Model ◽  
Model Based ◽  
Vector Machines
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