Iterative learning control for Hammerstein-Wiener Systems

  title={Iterative learning control for Hammerstein-Wiener Systems},
  author={Dong Shen and Han-Fu Chen},
  journal={Proceedings of the 29th Chinese Control Conference},
The iterative learning control(ILC) is considered for the Hammerstein-Wiener System, which is a cascading system composed of a static nonlinearity followed by a linear dynamic system and then again by a static nonlinearity. Besides, both the system noise and the measurement noise are taken into account. Under the tracking performance, the optimal control is first expressed, and then by using the system outputs and the objective trajectory, the ILC is constructed on the basis of the stochastic… CONTINUE READING


Publications referenced by this paper.
Showing 1-10 of 13 references

A stochastic iterative learning control algorithm with application to an induction motor

  • S. S. Saab
  • Int. J. Control,
  • 2004
3 Excerpts

Stochastic Approximation and Its Applications

  • H. F. Chen
  • Dordrecht, The Netherlands: Kluwer,
  • 2002
2 Excerpts

The mathematics of noise-free SPSA

  • L. Gerencsér, Z. S. Vágó
  • Proc. 40th IEEE CDC,
  • 2001
2 Excerpts

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