Nonlinear internal model control using neural networks: application to processes with delay and design issues

@article{Rivals2000NonlinearIM,
  title={Nonlinear internal model control using neural networks: application to processes with delay and design issues},
  author={Isabelle Rivals and L{\'e}on Personnaz},
  journal={IEEE transactions on neural networks},
  year={2000},
  volume={11 1},
  pages={80-90}
}
We propose a design procedure of neural internal model control systems for stable processes with delay. We show that the design of such nonadaptive indirect control systems necessitates only the training of the inverse of the model deprived from its delay, and that the presence of the delay thus does not increase the order of the inverse. The controller is then obtained by cascading this inverse with a rallying model which imposes the regulation dynamic behavior and ensures the robustness of… CONTINUE READING
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