Robust Model-Free Adaptive Interval Type-2 Fuzzy Sliding Mode Control for PEMFC System Using Disturbance Observer

2020 ◽  
Vol 22 (7) ◽  
pp. 2188-2203
Author(s):  
A. M. Omer Abbaker ◽  
Haoping Wang ◽  
Yang Tian
IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 180510-180519
Author(s):  
Run Ye ◽  
Bin Yan ◽  
Kaibo Shi ◽  
Maoxuan Chen

2011 ◽  
Vol 66 (4) ◽  
pp. 667-680 ◽  
Author(s):  
Mehdi Roopaei ◽  
Mansoor Zolghadri Jahromi ◽  
Bijan Ranjbar-Sahraei ◽  
Tsung-Chih Lin

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Ji-Hwan Hwang ◽  
Young-Chang Kang ◽  
Jong-Wook Park ◽  
Dong W. Kim

In this paper, advanced interval type-2 fuzzy sliding mode control (AIT2FSMC) for robot manipulator is proposed. The proposed AIT2FSMC is a combination of interval type-2 fuzzy system and sliding mode control. For resembling a feedback linearization (FL) control law, interval type-2 fuzzy system is designed. For compensating the approximation error between the FL control law and interval type-2 fuzzy system, sliding mode controller is designed, respectively. The tuning algorithms are derived in the sense of Lyapunov stability theorem. Two-link rigid robot manipulator with nonlinearity is used to test and the simulation results are presented to show the effectiveness of the proposed method that can control unknown system well.


2010 ◽  
Vol 63 (3) ◽  
pp. 491-502 ◽  
Author(s):  
Ji-hwan Hwang ◽  
Hwan-joo Kwak ◽  
Gwi-tae Park

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