Neuro-controller design using genetic optimized pole placement method

@inproceedings{Rentea2005NeurocontrollerDU,
  title={Neuro-controller design using genetic optimized pole placement method},
  author={Cornel Rentea},
  year={2005}
}
In this paper, in order to improve the training of a neural controller implemented using a direct inverse scheme we use pole placement design enhanced with the help of a genetic algorithm. We discuss this optimization of training a neural network controller for the Inverted Pendulum problem, considered an acknowledged benchmark in nonlinear system control. 

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