Iterative Learning Control for Nonlinear Systems Based on New Updated Newton Methods

@article{Kang2009IterativeLC,
  title={Iterative Learning Control for Nonlinear Systems Based on New Updated Newton Methods},
  author={Jingli Kang and Wansheng Tang},
  journal={2009 Second International Conference on Intelligent Computation Technology and Automation},
  year={2009},
  volume={1},
  pages={802-805}
}
A new iterative learning algorithm for nonlinear systems based on updated Newton method is investigated. The exchange row updated method is employed to derive the approximation of derivatives of the output function. The inverse of approximation of derivatives of the output function can be obtained by simple recurrent formula. This new algorithm has advantage of simplified calculation of the iterative learning control law in every iterative learning process. Sufficient conditions for convergence… CONTINUE READING

From This Paper

Topics from this paper.

Citations

Publications citing this paper.

References

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

Linear and nonlinear iterative learning control

  • J. X. Xu, Y. Tan
  • Berlin Heidelberg New York: Springer-Verlag, 2003…
  • 2003
1 Excerpt

Study on robustness of iterative learning control with non-zero initial error

  • H. S. Lee, Z. Bien
  • International Journal of Control, vol. 64, 1996…
  • 1996

On exchange enter update Newton-type methods

  • G. C. Feng, Z. G. Kang
  • A Journal of Chinese University Numerical…
  • 1985

Similar Papers

Loading similar papers…