Iterative learning control of output PDF shaping in stochastic systems

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

Research output: Contribution to conferencePaper

11 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

Fingerprint

Stochastic systems
Probability density function
Splines

Keywords

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

Cite this

Wang, H., Zhang, J. F., & Yue, H. (2005). Iterative learning control of output PDF shaping in stochastic systems. 1219 - 1224. Paper presented at 20th IEEE International Symposium on Intelligent Control (ISIC ‘05)/13th Mediterranean Conference on Control and Automation (MED ’05), Cyprus. https://doi.org/10.1109/.2005.1467189
Wang, H. ; Zhang, J.F. ; Yue, H. / Iterative learning control of output PDF shaping in stochastic systems. Paper presented at 20th IEEE International Symposium on Intelligent Control (ISIC ‘05)/13th Mediterranean Conference on Control and Automation (MED ’05), Cyprus.6 p.
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Wang, H, Zhang, JF & Yue, H 2005, 'Iterative learning control of output PDF shaping in stochastic systems' Paper presented at 20th IEEE International Symposium on Intelligent Control (ISIC ‘05)/13th Mediterranean Conference on Control and Automation (MED ’05), Cyprus, 27/06/05 - 29/06/05, pp. 1219 - 1224. https://doi.org/10.1109/.2005.1467189

Iterative learning control of output PDF shaping in stochastic systems. / Wang, H.; Zhang, J.F.; Yue, H.

2005. 1219 - 1224 Paper presented at 20th IEEE International Symposium on Intelligent Control (ISIC ‘05)/13th Mediterranean Conference on Control and Automation (MED ’05), Cyprus.

Research output: Contribution to conferencePaper

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AB - 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

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KW - pdf

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KW - stochastic systems

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Wang H, Zhang JF, Yue H. Iterative learning control of output PDF shaping in stochastic systems. 2005. Paper presented at 20th IEEE International Symposium on Intelligent Control (ISIC ‘05)/13th Mediterranean Conference on Control and Automation (MED ’05), Cyprus. https://doi.org/10.1109/.2005.1467189