Function approximation, "neural" networks, and adaptive nonlinear control

1994 ◽  
Author(s):  
Sanner ◽  
Slotine
Keyword(s):  
Neural Networks ◽  
Nonlinear Control ◽  
Function Approximation ◽  
Adaptive Nonlinear Control

scholarly journals Adaptive nonlinear control using input normalized neural networks

2008 ◽  
Vol 22 (6) ◽  
pp. 1073-1083 ◽  
Author(s):  
Henzeh Leeghim ◽  
In-Ho Seo ◽  
Hyochoong Bang
Keyword(s):  
Neural Networks ◽  
Nonlinear Control ◽  
Adaptive Nonlinear Control

scholarly journals An Adaptive Nonlinear Control for Gyro Stabilized Platform Based on Neural Networks and Disturbance Observer

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Jiancheng Fang ◽  
Rui Yin
Keyword(s):  
Neural Networks ◽  
Nonlinear Control ◽  
Disturbance Observer ◽  
Control Law ◽  
Disturbance Compensation ◽  
Reduced Order ◽  
Control Approach ◽  
Adaptive Nonlinear Control ◽  
The Stability ◽  
Stabilized Platform

In order to improve the tracking performance of gyro stabilized platform with disturbances and uncertainties, an adaptive nonlinear control based on neural networks and reduced-order disturbance observer for disturbance compensation is developed. First the reduced-order disturbance observer estimates the disturbance directly. The error of the estimated disturbance caused by parameter variation and measurement noise is then approximated by neural networks. The phase compensation is also introduced to the proposed control law for the desired sinusoidal tracking. The stability of the proposed scheme is analyzed by the Lyapunov criterion. Experimental results show the validity of the proposed control approach.

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