Adaptive neural control for a class of stochastic non-strict-feedback nonlinear systems with time-delay

2016 ◽  
Vol 214 ◽  
pp. 750-757 ◽  
Author(s):  
Yumei Sun ◽  
Bing Chen ◽  
Chong Lin ◽  
Honghong Wang
Keyword(s):  
Time Delay ◽  
Nonlinear Systems ◽  
Neural Control ◽  
Adaptive Neural Control ◽  
Strict Feedback

Adaptive neural control for a class of output feedback time delay nonlinear systems

2009 ◽  
Vol 72 (7-9) ◽  
pp. 1985-1992 ◽  
Author(s):  
Qing Zhu ◽  
Tianping Zhang ◽  
Shumin Fei ◽  
Kanjian Zhang ◽  
Tao Li
Keyword(s):  
Time Delay ◽  
Nonlinear Systems ◽  
Output Feedback ◽  
Neural Control ◽  
Adaptive Neural Control ◽  
Feedback Time

scholarly journals Adaptive Neural Control for a Class of Outputs Time-Delay Nonlinear Systems

2012 ◽  
Vol 2012 ◽  
pp. 1-16 ◽  
Author(s):  
Ruliang Wang ◽  
Jie Li
Keyword(s):  
Neural Networks ◽  
Time Delay ◽  
Nonlinear Systems ◽  
Neural Control ◽  
Closed Loop ◽  
Continuous Functions ◽  
Rbf Neural Networks ◽  
Adaptive Neural Control ◽  
Control Scheme ◽  
Simulation Results

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.

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