Missing Output Identification Model Based Recursive Least Squares Algorithm for a Distributed Parameter System

2018 ◽  
Vol 16 (1) ◽  
pp. 150-157 ◽  
Author(s):  
Jing Chen ◽  
Bin Jiang ◽  
Juan Li
2014 ◽  
Vol 989-994 ◽  
pp. 1460-1463
Author(s):  
Yun Xia Ni ◽  
Jian Dong Cao

This paper proposes a recursive least squares algorithm for Wiener systems. We use a switching function to turn the modelof the nonlinear Wiener systems into an identification model, then propose a recursive least squares identification algorithm toestimate all the unknown parameters of the systems. Finally, an example is provided to show the effectiveness of the proposed algorithm.


Author(s):  
Hossein Mohamadipanah ◽  
Mahdi Heydari ◽  
Girish Chowdhary

2012 ◽  
Vol 32 ◽  
pp. 349-357 ◽  
Author(s):  
Pingping Zhu ◽  
Badong Chen ◽  
José C. Príncipe

2009 ◽  
Vol 57 (3) ◽  
pp. 1209-1216 ◽  
Author(s):  
L.R. Vega ◽  
H. Rey ◽  
J. Benesty ◽  
S. Tressens

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