Robust stabilization of uncertain fuzzy systems under sampled-data control

Author(s):  
Jun Yoneyama
2019 ◽  
Vol 50 (16) ◽  
pp. 2979-2992 ◽  
Author(s):  
Nallappan Gunasekaran ◽  
Ramasamy Saravanakumar ◽  
M. Syed Ali ◽  
Quanxin Zhu

2020 ◽  
Vol 357 (1) ◽  
pp. 39-58 ◽  
Author(s):  
Jinnan Luo ◽  
Mengling Li ◽  
Xinzhi Liu ◽  
Wenhong Tian ◽  
Shouming Zhong ◽  
...  

2019 ◽  
Vol 141 (8) ◽  
Author(s):  
Sonia Maalej ◽  
Alexandre Kruszewski ◽  
Lotfi Belkoura

This paper deals with the robust stabilization of a class of linear parameter varying (LPV) systems in the sampled data control case. Instead of using a state observer or searching for a dynamic output feedback, the considered controller is based on output derivatives estimation. This allows the stabilization of the plant with very large parameter variations or uncertainties. The proof of stability is based on the polytopic representation of the closed-loop under Lyapunov conditions and system transformations. The result is a control structure with only one parameter tuned via very simple conditions. Finally, the effectiveness of the proposed method is verified via a numerical example of a second-order LPV system.


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