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Journal of Control Science and Engineering
Volume 2014, Article ID 351568, 5 pages
http://dx.doi.org/10.1155/2014/351568
Research Article

Design of Iterative Learning Control Method with Global Convergence Property for Nonlinear Systems

1Institute of Advanced Control Technology, Dalian University of Technology, Dalian 116024, China
2School of Software Technology, Dalian University of Technology, Dalian 116600, China

Received 17 April 2014; Revised 16 July 2014; Accepted 15 September 2014; Published 2 October 2014

Academic Editor: Zengqiang Chen

Copyright © 2014 Guang-Wei Xu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. S. Arimoto, S. Kawamyra, and F. Miyazaki, “Bettering operation of robots by learning,” Journal of Robotic Systems, vol. 1, no. 2, pp. 123–140, 1984. View at Google Scholar
  2. R. Chi, M. Li, Z. Hou, X. Liu, and Z. Yu, “Freeway traffic density and on-ramp queue control via ILC approach,” Mathematical Problems in Engineering, vol. 2014, Article ID 321934, 8 pages, 2014. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  3. C. Shao, F.-R. Gao, and Y. Yang, “Robust stability of optimal iterative learning control and application to injection molding machine,” Acta Automatica Sinica, vol. 29, no. 1, pp. 72–79, 2003 (Chinese). View at Google Scholar · View at MathSciNet · View at Scopus
  4. Y.-C. Wang and C.-J. Chien, “An output-recurrent-neural-network-based iterative learning control for unknown nonlinear dynamic plants,” Journal of Control Science and Engineering, vol. 2012, Article ID 545731, 9 pages, 2012. View at Publisher · View at Google Scholar · View at MathSciNet
  5. C. Liu, J. Xu, and J. Wu, “Iterative learning control for remote control systems with communication delay and data dropout,” Mathematical Problems in Engineering, vol. 2012, Article ID 705474, 14 pages, 2012. View at Publisher · View at Google Scholar · View at MathSciNet
  6. C. Liu, R. Xiong, J. Xu, and J. Wu, “On iterative learning control for remote control systems with packet losses,” Journal of Applied Mathematics, vol. 2013, Article ID 245372, 9 pages, 2013. View at Publisher · View at Google Scholar · View at MathSciNet
  7. G. Xu and C. Shao, “The new iterative learning control algorithm based on vector rotation for discrete time systems,” ICIC Express Letters, vol. 5, no. 7, pp. 2111–2117, 2011. View at Google Scholar · View at Scopus
  8. J. Xu and Y. Tan, Linear and Nonlinear Iterative Learning Control, Springer, New York, NY, USA, 2003. View at MathSciNet
  9. H. Du, M. Hu, J. Xie, and S.-F. Ling, “Control of an electrostrictive actuator using Newton's method,” Precision Engineering, vol. 29, no. 3, pp. 375–380, 2005. View at Publisher · View at Google Scholar · View at Scopus
  10. T. Lin, D. H. Owens, and J. Hätönen, “Newton-method based iterative learning control for discrete non-linear systems,” International Journal of Control, vol. 79, no. 10, pp. 1263–1276, 2006. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  11. G. Xu, C. Shao, Y. Han, and K. Yim, “New quasi-Newton iterative learning control scheme based on rank-one update for nonlinear systems,” The Journal of Supercomputing, vol. 67, no. 3, pp. 653–670, 2014. View at Publisher · View at Google Scholar · View at Scopus