Simulation and evaluation of neuro-controllers applied in a SCORBOT
Mir Syavash Kazemi, Marcela Jamett Domínguez · 2016
This work presents different types of neuronal structures to evaluate their performance as a controller, using a robotic arm for that purpose. To study the performance of the controllers, the first step is to study the system in which the controllers will be applied. After that, different strategies of control need to be studied, in this case based on neural networks. Then the entire system can be simulated, in this case with MatLab/Simulink. Finally, the performance is evaluated according to the results.