Adaptive neural network control for a class of strict feedback non-linear time delay systems

2014 ◽  
Vol 21 (4) ◽  
pp. 401
Author(s):  
Cuiying Yan ◽  
Yang Li ◽  
Jianhua Zhang
Keyword(s):  
Neural Network ◽  
Time Delay ◽  
Linear Time ◽  
Network Control ◽  
Delay Systems ◽  
Neural Network Control ◽  
Time Delay Systems ◽  
Adaptive Neural Network ◽  
Adaptive Neural Network Control ◽  
Non Linear

Parallel Adaptive Neural Network Control of Robots

1994 ◽  
Vol 208 (4) ◽  
pp. 231-237 ◽  
Author(s):  
S S Ge ◽  
T H Lee
Keyword(s):  
Neural Network ◽  
Reference Signal ◽  
Network Control ◽  
Radial Basis Function Networks ◽  
Neural Network Control ◽  
Adaptive Neural Network ◽  
Linear Controller ◽  
Adaptive Neural Network Control ◽  
Non Linear ◽  
Asymptotic Tracking

In this paper, a parallel adaptive neural network (NN) control design for robots motivated by the work by Lee and Tan is presented. The controller is based on direct adaptive techniques and an approach of using an additional parallel NN to provide adaptive enhancements to a basic fixed controller, which can be either a NN-based non-linear controller or a model-based non-linear controller. It is shown that, if Gaussian radial basis function networks are used for the additional parallel NN, uniformly stable adaptation is assured and asymptotic tracking of the position reference signal is achieved.

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