Moving data window gradient‐based iterative algorithm of combined parameter and state estimation for bilinear systems

2020 ◽  
Vol 30 (6) ◽  
pp. 2413-2429 ◽  
Author(s):  
Siyu Liu ◽  
Feng Ding ◽  
Tasawar Hayat
2020 ◽  
Vol 357 (15) ◽  
pp. 11021-11041
Author(s):  
Siyu Liu ◽  
Li Xie ◽  
Ling Xu ◽  
Feng Ding ◽  
Ahmed Alsaedi ◽  
...  

Filomat ◽  
2012 ◽  
Vol 26 (3) ◽  
pp. 607-613 ◽  
Author(s):  
Xiang Wang ◽  
Dan Liao

A hierarchical gradient based iterative algorithm of [L. Xie et al., Computers and Mathematics with Applications 58 (2009) 1441-1448] has been presented for finding the numerical solution for general linear matrix equations, and the convergent factor has been discussed by numerical experiments. However, they pointed out that how to choose a best convergence factor is still a project to be studied. In this paper, we discussed the optimal convergent factor for the gradient based iterative algorithm and obtained the optimal convergent factor. Moreover, the theoretical results of this paper can be extended to other methods of gradient-type based. Results of numerical experiments are consistent with the theoretical findings.


2018 ◽  
Vol 54 (4) ◽  
pp. 2086-2090
Author(s):  
Qiang Li ◽  
Lei Huang ◽  
Wei Liu ◽  
Weize Sun ◽  
Peichang Zhang

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