Iterative Learning Control of Output PDF Shaping in Stochastic Systems

  title={Iterative Learning Control of Output PDF Shaping in Stochastic Systems},
  author={Hang Wang and J. H. Zhang and Hong Yue},
  journal={Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation Intelligent Control, 2005.},
An iterative learning control (ILC) algorithm has been proposed for the shaping of the output probability density function (PDF) of non-Gaussian stochastic systems. Based on the B-spline modeling of the output PDF, the control strategy is implemented in three steps at each iterative batch. Firstly, the distance between the output PDF of the system and the desired PDF is used between each batch to adjust the B-spline functions. The parameters of the B-spline based PDF model are then identified… CONTINUE READING


Publications citing this paper.


Publications referenced by this paper.
Showing 1-10 of 29 references

Bounded Dynamic Stochastic Systems: modelling and Control

  • H. Wang
  • London: Springer-Verlag Ltd
  • 2000
Highly Influential
9 Excerpts

Linear and Nonlinear Iterative Learning Control, Lecture Notes in Control and Information Science, 291

  • J. X. Xu, Y. Tan
  • 2003
1 Excerpt

Recent Developments in Stochastic Distribution Control: A Review

  • H. Yue, H. Wang
  • Measurement and Control
  • 2003
1 Excerpt

Control of Particle Size Distributions in Emulsion Semibatch Polymerization Using Midcourse Correction Polices

  • J. Flores-Cerrillo, J. F. MacGregor
  • Industrial and Engineering Chemistry Research
  • 2002

Open-loop Control of Particle Size Distribution on Semi-batch Emulsion Copolymerisation Using a Genetic Algorithm

  • C. D. Immanuel, F. J. Doyle
  • Chemical Engineering Science
  • 2002
1 Excerpt

Similar Papers

Loading similar papers…