A model predictive controller based on support vector regression and genetic optimization for an SP-100 space nuclear reactor

@inproceedings{Na2006AMP,
  title={A model predictive controller based on support vector regression and genetic optimization for an SP-100 space nuclear reactor},
  author={Man Gyun Na and Belle R. Upadhyaya},
  booktitle={ICINCO-ICSO},
  year={2006}
}
In this work, a model predictive control (MPC) method combined with support vector regression (SVR), is applied to the design of the thermoelectric (TE) power control in the SP-100 space reactor. The future TE power is predicted by using SVR. The objectives of the proposed model predictive controller are to minimize both the difference between the predicted… CONTINUE READING