Asymptotical stabilization of fractional-order singular uncertain linear systems

Author(s):  
Yu-De Ji ◽  
Ji-Qing Qiu
2019 ◽  
Vol 13 (10) ◽  
pp. 1454-1465 ◽  
Author(s):  
Liping Chen ◽  
Hao Yin ◽  
Ranchao Wu ◽  
Lisheng Yin ◽  
YangQuan Chen

2020 ◽  
Vol 14 (12) ◽  
pp. 1575-1589
Author(s):  
Liping Chen ◽  
Tingting Li ◽  
Ranchao Wu ◽  
YangQuan Chen ◽  
Zhaodong Liu

2020 ◽  
Vol 6 (8(77)) ◽  
pp. 23-28
Author(s):  
Shuen Wang ◽  
Ying Wang ◽  
Yinggan Tang

In this paper, the identification of continuous-time fractional order linear systems (FOLS) is investigated. In order to identify the differentiation or- ders as well as parameters and reduce the computation complexity, a novel identification method based on Chebyshev wavelet is proposed. Firstly, the Chebyshev wavelet operational matrices for fractional integration operator is derived. Then, the FOLS is converted to an algebraic equation by using the the Chebyshev wavelet operational matrices. Finally, the parameters and differentiation orders are estimated by minimizing the error between the output of real system and that of identified systems. Experimental results show the effectiveness of the proposed method.


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