scholarly journals Auxiliary model based parameter estimation for dual-rate output error systems with colored noise

2013 ◽  
Vol 37 (6) ◽  
pp. 4051-4058 ◽  
Author(s):  
Jie Ding ◽  
Chunxia Fan ◽  
Jinxing Lin
Machines ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 247
Author(s):  
Chen Xu ◽  
Yawen Mao

This paper focuses on the nonlinear system identification problem, which is a basic premise of control and fault diagnosis. For Hammerstein output-error nonlinear systems, we propose an auxiliary model-based multi-innovation fractional stochastic gradient method. The scalar innovation is extended to the innovation vector for increasing the data use based on the multi-innovation identification theory. By establishing appropriate auxiliary models, the unknown variables are estimated and the improvement in the performance of parameter estimation is achieved owing to the fractional-order calculus theory. Compared with the conventional multi-innovation stochastic gradient algorithm, the proposed method is validated to obtain better estimation accuracy by the simulation results.


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