Fuzzy adaptive control of fractional order chaotic systems with unknown control gain sign using a fractional order Nussbaum gain

2019 ◽  
Vol 6 (3) ◽  
pp. 816-823 ◽  
Author(s):  
Khatir Khettab ◽  
Samir Ladaci ◽  
Yassine Bensafia
2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Yeguo Sun ◽  
Yihong Liu ◽  
Ling Li

In this paper, the problem of fuzzy adaptive control of unknown nonlinear fractional-order systems with external disturbances and unknown control directions is studied. We exploit a decomposition of the control gain matrix into a symmetric positive-definite matrix, a diagonal matrix with diagonal entries + 1 or 1 , and a unity upper triangular matrix. Fuzzy logic systems are used for estimating the unknown nonlinear functions. Based on the fractional Lyapunov direct method and some proposed lemmas, a novel fuzzy adaptive controller is designed. The proposed method can guarantee that all the signals in the closed-loop systems remain bounded and the tracking errors converge to an arbitrary small region of the origin. In addition, for updating the parameters of the fuzzy system, fractional-order adaptations laws are proposed. Lastly, an illustrative example is given to demonstrate the effectiveness of the proposed results.


2021 ◽  
Vol 96 (12) ◽  
pp. 124017
Author(s):  
Ziyi Liu ◽  
Hadi Jahanshahi ◽  
J F Gómez-Aguilar ◽  
G Fernandez-Anaya ◽  
J Torres-Jiménez ◽  
...  

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