scholarly journals Observer-Based Adaptive Control of Uncertain Nonlinear Systems Via Neural Networks

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 42675-42686 ◽  
Author(s):  
Chaoxu Mu ◽  
Yong Zhang ◽  
Ke Wang
Keyword(s):  
Neural Networks ◽  
Adaptive Control ◽  
Nonlinear Systems ◽  
Uncertain Nonlinear Systems

Semi-Global Adaptive Control Using Barrier Lyapunov Functions for a Class of Uncertain Nonlinear Systems

2012 ◽  
Vol 190-191 ◽  
pp. 1053-1056
Author(s):  
Peng Nian Chen ◽  
Ling Ling Sun
Keyword(s):  
Neural Networks ◽  
Adaptive Control ◽  
Nonlinear Systems ◽  
Lyapunov Functions ◽  
Closed Loop ◽  
Control Method ◽  
Uncertain Nonlinear Systems ◽  
Closed Loop System ◽  
Periodic Disturbances ◽  
Barrier Lyapunov Functions

This paper deals with the problem of adaptive control for a class of nonlinear systems. The system considered in the paper contains non-parameterized uncertainties and periodic disturbances. A semi-global adaptive control method is proposed using the barrier Lyapunov functions. The method does not need to assume that the solution of the closed loop system remains in the domain of approximation by neural networks and guarantees that the solution of the system converges to zero.

Sign in / Sign up

Export Citation Format

Share Document