Robust neural network control of rigid-link electrically-driven robots

Author(s):  
C.M. Kwan ◽  
F.L. Lewis ◽  
D.M. Dawson
Author(s):  
S N Huang ◽  
K K Tan ◽  
T H Lee

In this paper, a back-stepping scheme for rigid-link electrically driven (RLED) robot systems is proposed. A two-step controller is presented: the first step is a virtual controller, while the second step is an actual one. A neural network is used to approximate the unknown non-linear dynamics in the system. The stability can be guaranteed by using a rigid proof. A simulation is used to illustrate the effectiveness of the proposed algorithm.


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