scholarly journals Robust Adaptive Control of Hydraulic System With Input Saturation and Valve Dead-Zone

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 53521-53532 ◽  
Author(s):  
Weiwei Gu ◽  
Jianyong Yao ◽  
Zhikai Yao ◽  
Jingzhong Zheng
Automatica ◽  
2004 ◽  
Vol 40 (3) ◽  
pp. 407-413 ◽  
Author(s):  
Xing-Song Wang ◽  
Chun-Yi Su ◽  
Henry Hong

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Roberto Carmona Rodríguez ◽  
Wen Yu

We propose a new type of neural adaptive control via dynamic neural networks. For a class of unknown nonlinear systems, a neural identifier-based feedback linearization controller is first used. Dead-zone and projection techniques are applied to assure the stability of neural identification. Then four types of compensator are addressed. The stability of closed-loop system is also proven.


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