Iterative learning control of Hamiltonian systems

@inproceedings{Fujimoto2002IterativeLC,
  title={Iterative learning control of Hamiltonian systems},
  author={Kenji Fujimoto and Hiroki Kakiuchi and Toshiharu Sugie},
  year={2002}
}
This paper is concerned with iterative learning control of Hamiltonian systems, which is applicable to electromechanical systems. A novel iterative learning control scheme is proposed based the self-adjoint structure of the variational of those systems. This method does not require either the physical parameters of the target system nor the time derivatives of output signals. A concrete and effective learning algorithm for mechanical systems is also derived. Furthermore, experiments of a robot… CONTINUE READING

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