Robust tracking control for nonlinear MIMO systems via fuzzy approaches

Automatica ◽  
2000 ◽  
Vol 36 (10) ◽  
pp. 1535-1545 ◽  
Author(s):  
Yeong-Chan Chang
2015 ◽  
Vol 15 (1) ◽  
pp. 34-45
Author(s):  
Sanxiu Wang ◽  
Kexin Xing ◽  
Zhengchu Wang

Abstract In this paper an adaptive fuzzy H∞ robust tracking control scheme is developed for a class of uncertain nonlinear Multi-Input and Multi-Output (MIMO) systems. Firstly, fuzzy logic systems are introduced to approximate the unknown nonlinear function of the system by an adaptive algorithm. Next, a H∞ robust compensator controller is employed to eliminate the effect of the approximation error and external disturbances. Consequently, a fuzzy adaptive robust controller is proposed, such that the tracking error of the resulting closed-loop system converges to zero and the tracking robustness performance can be guaranteed. The simulation results performed on a two-link robotic manipulator demonstrate the validity of the proposed control scheme.


Automatica ◽  
2021 ◽  
Vol 131 ◽  
pp. 109733
Author(s):  
Minh Hoang Trinh ◽  
Quoc Van Tran ◽  
Dung Van Vu ◽  
Phuoc Doan Nguyen ◽  
Hyo-Sung Ahn

2021 ◽  
Vol 6 (3) ◽  
pp. 5175-5182
Author(s):  
Guizhou Cao ◽  
Benyan Huo ◽  
Lei Yang ◽  
Fangfang Zhang ◽  
Yanhong Liu ◽  
...  

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