Simple robust adaptive control for structured uncertainty plants with unknown dead-zone

2003 ◽  
Author(s):  
Mingcong Deng ◽  
Hongnian Yu ◽  
Zenta Iwai
Keyword(s):  
Adaptive Control ◽  
Dead Zone ◽  
Robust Adaptive Control ◽  
Structured Uncertainty ◽  
Robust Adaptive

Robust adaptive control of a class of nonlinear systems with unknown dead-zone

Automatica ◽  
2004 ◽  
Vol 40 (3) ◽  
pp. 407-413 ◽  
Author(s):  
Xing-Song Wang ◽  
Chun-Yi Su ◽  
Henry Hong
Keyword(s):  
Adaptive Control ◽  
Nonlinear Systems ◽  
Dead Zone ◽  
Robust Adaptive Control ◽  
Robust Adaptive

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
Keyword(s):  
Adaptive Control ◽  
Hydraulic System ◽  
Dead Zone ◽  
Input Saturation ◽  
Robust Adaptive Control ◽  
Robust Adaptive

scholarly journals Robust Adaptive Control via Neural Linearization and Compensation

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Roberto Carmona Rodríguez ◽  
Wen Yu
Keyword(s):  
Adaptive Control ◽  
Feedback Linearization ◽  
Dead Zone ◽  
Robust Adaptive Control ◽  
Dynamic Neural Networks ◽  
Neural Adaptive Control ◽  
New Type ◽  
Projection Techniques ◽  
Robust Adaptive ◽  
The Stability

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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