Adaptive Control for a Class of Pure-Feedback Nonlinear Systems via Improved Dynamic Surface Control Technique

Author(s):  
Yang Zhou ◽  
Wenhan Dong ◽  
Zongcheng Liu ◽  
Yong Chen ◽  
Wenqian Zhang ◽  
...  
IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 96672-96685 ◽  
Author(s):  
Yang Zhou ◽  
Wenhan Dong ◽  
Shuangyu Dong ◽  
Yong Chen ◽  
Renwei Zuo ◽  
...  

2016 ◽  
Vol 40 (4) ◽  
pp. 1127-1135 ◽  
Author(s):  
Yassine Soukkou ◽  
Salim Labiod ◽  
Mohamed Tadjine

In this paper, a composite adaptive dynamic surface control scheme is developed for a class of parametric strict-feedback nonlinear systems. The proposed composite adaptation law uses both the surface error and the estimation error to update the parameters. In addition, by using the dynamic surface control technique, the problem of the explosion of complexity in the adaptive backstepping design is avoided. It is proved that the proposed scheme guarantees uniform ultimate boundedness of all signals in the closed-loop system with arbitrary small surface error by adjusting the design parameters. Simulation results demonstrate the effectiveness of the proposed approach for an electrohydraulic actuator system.


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