Iterative learning control of output PDF shaping in stochastic systems

H. Wang, J.F. Zhang, H. Yue

Research output: Contribution to conferencePaper

12 Citations (Scopus)

Abstract

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 accordingly. Finally, the control input is designed by optimising a quadratic integral performance function within each batch

Original languageEnglish
Pages1219 - 1224
Number of pages6
DOIs
Publication statusPublished - Jun 2005
Event20th IEEE International Symposium on Intelligent Control (ISIC ‘05)/13th Mediterranean Conference on Control and Automation (MED ’05) - , Cyprus
Duration: 27 Jun 200529 Jun 2005

Conference

Conference20th IEEE International Symposium on Intelligent Control (ISIC ‘05)/13th Mediterranean Conference on Control and Automation (MED ’05)
CountryCyprus
Period27/06/0529/06/05

Keywords

  • iterative
  • learning control
  • output
  • pdf
  • shaping
  • stochastic systems

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