Linear genetic programming control for strongly nonlinear dynamics with frequency crosstalk

@inproceedings{Li2017LinearGP,
  title={Linear genetic programming control for strongly nonlinear dynamics with frequency crosstalk},
  author={Ruiying Li and Bernd R. Noack and Laurent Cordier and Jacques Bor{\'e}e and Eurika Kaiser and Fabien Harambat},
  year={2017}
}
  • Ruiying Li, Bernd R. Noack, +3 authors Fabien Harambat
  • Published 2017
  • Mathematics, Physics
  • We advance Machine Learning Control (MLC), a recently proposed model-free control framework which explores and exploits strongly nonlinear dynamics in an unsupervised manner. The assumed plant has multiple actuators and sensors and its performance is measured by a cost functional. The control problem is to find a control logic which optimizes the given cost function. The corresponding regression problem for the control law is solved by employing linear genetic programming as an easy and simple… CONTINUE READING

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