Adaptive neural network output feedback control for a class of non-strict-feedback nonlinear systems with unknown control coefficients

2014 ◽  
Author(s):  
Yu Zhaoxu ◽  
Li Shugang
Keyword(s):  
Neural Network ◽  
Feedback Control ◽  
Nonlinear Systems ◽  
Output Feedback ◽  
Output Feedback Control ◽  
Adaptive Neural Network ◽  
Network Output ◽  
Unknown Control Coefficients ◽  
Unknown Control ◽  
Control Coefficients

scholarly journals Adaptive NN output-feedback control for stochastic time-delay nonlinear systems with unknown control coefficients and perturbations

2016 ◽  
Vol 21 (4) ◽  
pp. 515-530 ◽  
Author(s):  
Hui Fang Min ◽  
Na Duan
Keyword(s):  
Feedback Control ◽  
Nonlinear Systems ◽  
Output Feedback ◽  
Output Feedback Control ◽  
Function Technique ◽  
Time Varying Delay ◽  
Unknown Control Coefficients ◽  
Unknown Control ◽  
Stochastic Time ◽  
Control Coefficients

This paper addresses the problem of adaptive output-feedback control for more general class of stochastic time-varying delay nonlinear systems with unknown control coefficients and perturbations. By using Lyapunov–Krasovskii functional, backstepping and tuning function technique, a novel adaptive neural network (NN) output-feedback controller is constructed with fewer learning parameters. The designed controller guarantees that all the signals in the closed-loop system are 4-moment (or mean square) semi-globally uniformly ultimately bounded (SGUUB). Finally, a simulation example is shown to demonstrate the effectiveness of the proposed control scheme.

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