scholarly journals Nonlinear Output Feedback Control of Flexible Rope Crane Systems With State Constraints

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 136193-136202 ◽  
Author(s):  
Ning Sun ◽  
Jianyi Zhang ◽  
Xin Xin ◽  
Tong Yang ◽  
Yongchun Fang
2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Liping Wang ◽  
Weiwei Sun ◽  
You Wu

The adaptive fuzzy output feedback control problem for a class of pure feedback systems with partial state constraints is addressed in this paper. The fuzzy state observers are designed to estimate the unmeasured state while the fuzzy logic systems are used to approximate the unknown nonlinear functions. The proposed adaptive fuzzy output feedback controller can guarantee that the partial state constraints are not violated, and all closed-loop signals remain bounded by use of Barrier Lyapunov Functions (BLFs). A numerical example is presented to illustrate the effectiveness of the results in this paper.


2018 ◽  
Vol 26 (5) ◽  
pp. 2607-2617 ◽  
Author(s):  
Yan-Jun Liu ◽  
Mingzhe Gong ◽  
Shaocheng Tong ◽  
C. L. Philip Chen ◽  
Dong-Juan Li

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