Adaptive Neural Control for a Class of Perturbed Time-delay Nonlinear Systems

Author(s):  
Ruliang Wang ◽  
Jie Li
2009 ◽  
Vol 72 (7-9) ◽  
pp. 1985-1992 ◽  
Author(s):  
Qing Zhu ◽  
Tianping Zhang ◽  
Shumin Fei ◽  
Kanjian Zhang ◽  
Tao Li

2012 ◽  
Vol 2012 ◽  
pp. 1-16 ◽  
Author(s):  
Ruliang Wang ◽  
Jie Li

This paper considers an adaptive neural control for a class of outputs time-delay nonlinear systems with perturbed or no. Based on RBF neural networks, the radius basis function (RBF) neural networks is employed to estimate the unknown continuous functions. The proposed control guarantees that all closed-loop signals remain bounded. The simulation results demonstrate the effectiveness of the proposed control scheme.


2016 ◽  
Vol 46 (6) ◽  
pp. 1337-1349 ◽  
Author(s):  
Xudong Zhao ◽  
Haijiao Yang ◽  
Hamid Reza Karimi ◽  
Yanzheng Zhu

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