scholarly journals Sliding Mode Control Approach for Training On-line Neural Networks with Adaptive Learning Rate

10.5772/15918 ◽  
2011 ◽  
Author(s):  
Ademir Nied ◽  
Jos de
Keyword(s):  
Neural Networks ◽  
Sliding Mode Control ◽  
Adaptive Learning ◽  
Sliding Mode ◽  
Learning Rate ◽  
Control Approach ◽  
Mode Control ◽  
Adaptive Learning Rate ◽  
On Line

On-line neural training algorithm with sliding mode control and adaptive learning rate

2007 ◽  
Vol 70 (16-18) ◽  
pp. 2687-2691 ◽  
Author(s):  
A. Nied ◽  
S.I. Seleme ◽  
G.G. Parma ◽  
B.R. Menezes
Keyword(s):  
Sliding Mode Control ◽  
Adaptive Learning ◽  
Sliding Mode ◽  
Learning Rate ◽  
Training Algorithm ◽  
Mode Control ◽  
Adaptive Learning Rate ◽  
On Line

scholarly journals Sliding mode control of the automobile electro-coating conveying mechanism with a nonlinear disturbance observer

2018 ◽  
Vol 10 (9) ◽  
pp. 168781401879574 ◽  
Author(s):  
Wei Yuan ◽  
Guoqin Gao
Keyword(s):  
Sliding Mode Control ◽  
Disturbance Observer ◽  
High Performance ◽  
Sliding Mode ◽  
External Disturbance ◽  
Nonlinear Disturbance Observer ◽  
Control Approach ◽  
Mode Control ◽  
Highly Nonlinear ◽  
Nonlinear Disturbance

The trajectory-tracking performance of the automobile electro-coating conveying mechanism is severely interrupted by highly nonlinear crossing couplings, unmodeled dynamics, parameter variation, friction, and unknown external disturbance. In this article, a sliding mode control with a nonlinear disturbance observer is proposed for high-accuracy motion control of the conveying mechanism. The nonlinear disturbance observer is designed to estimate not only the internal/external disturbance but also the model uncertainties. Based on the output of the nonlinear disturbance observer, a sliding mode control approach is designed for the hybrid series–parallel mechanism. Then, the stability of the closed-loop system is proved by means of a Lyapunov analysis. Finally, simulations with typical desired trajectory are presented to demonstrate the high performance of the proposed composite control scheme.

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