scholarly journals Stability-Based Parameter Selection for Data-Driven Model-Free Adaptive Controllers

2019 ◽  
Vol 1302 ◽  
pp. 032055 ◽  
Author(s):  
Kai Deng ◽  
Chunhua Yang
2021 ◽  
Vol 4 (6) ◽  
pp. 1-36
Author(s):  
Zeljko Kereta ◽  
◽  
Valeriya Naumova

<abstract><p>Despite recent advances in regularization theory, the issue of parameter selection still remains a challenge for most applications. In a recent work the framework of statistical learning was used to approximate the optimal Tikhonov regularization parameter from noisy data. In this work, we improve their results and extend the analysis to the elastic net regularization. Furthermore, we design a data-driven, automated algorithm for the computation of an approximate regularization parameter. Our analysis combines statistical learning theory with insights from regularization theory. We compare our approach with state-of-the-art parameter selection criteria and show that it has superior accuracy.</p></abstract>


Author(s):  
Shi Su ◽  
Wai-Tian Tan ◽  
Xiaoqing Zhu ◽  
Rob Liston ◽  
Behnaam Aazhang

2015 ◽  
Vol 32 (10) ◽  
pp. 1898 ◽  
Author(s):  
Younes Benkarroum ◽  
Gabor T. Herman ◽  
Stuart W. Rowland

2018 ◽  
Vol 20 (10) ◽  
pp. 2774-2787 ◽  
Author(s):  
Feng Gao ◽  
Xinfeng Zhang ◽  
Yicheng Huang ◽  
Yong Luo ◽  
Xiaoming Li ◽  
...  

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