Iterative learning control of output PDF shaping in stochastic systems

H. Wang; J. F. Zhang; H. Yue

doi:10.1109/.2005.1467189

Iterative learning control of output PDF shaping in stochastic systems

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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. © 2005 IEEE.

Original language	English
Title of host publication	Proceedings of the 20th IEEE International Symposium on Intelligent Control, ISIC '05 and the 13th Mediterranean Conference on Control and Automation, MED '05\|Proc. IEEE Int. Symp. Intell. Control Mediterranean Conf. Control Autom.
Pages	1225-1230
Number of pages	5
Volume	2005
DOIs	https://doi.org/10.1109/.2005.1467189
Publication status	Published - 2005
Event	20th IEEE International Symposium on Intelligent Control, ISIC '05 and the13th Mediterranean Conference on Control and Automation, MED '05 - Limassol Duration: 1 Jul 2005 → …

Conference

Conference	20th IEEE International Symposium on Intelligent Control, ISIC '05 and the13th Mediterranean Conference on Control and Automation, MED '05
City	Limassol
Period	1/07/05 → …

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10.1109/.2005.1467189

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Wang, H., Zhang, J. F., & Yue, H. (2005). Iterative learning control of output PDF shaping in stochastic systems. In Proceedings of the 20th IEEE International Symposium on Intelligent Control, ISIC '05 and the 13th Mediterranean Conference on Control and Automation, MED '05|Proc. IEEE Int. Symp. Intell. Control Mediterranean Conf. Control Autom. (Vol. 2005, pp. 1225-1230) https://doi.org/10.1109/.2005.1467189

Wang, H. ; Zhang, J. F. ; Yue, H. / Iterative learning control of output PDF shaping in stochastic systems. Proceedings of the 20th IEEE International Symposium on Intelligent Control, ISIC '05 and the 13th Mediterranean Conference on Control and Automation, MED '05|Proc. IEEE Int. Symp. Intell. Control Mediterranean Conf. Control Autom.. Vol. 2005 2005. pp. 1225-1230

@inproceedings{c4486371d7004851802fd40ecb01ccea,

title = "Iterative learning control of output PDF shaping in stochastic systems",

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. {\textcopyright} 2005 IEEE.",

author = "H. Wang and Zhang, {J. F.} and H. Yue",

year = "2005",

doi = "10.1109/.2005.1467189",

language = "English",

isbn = "0780389360",

volume = "2005",

pages = "1225--1230",

booktitle = "Proceedings of the 20th IEEE International Symposium on Intelligent Control, ISIC '05 and the 13th Mediterranean Conference on Control and Automation, MED '05|Proc. IEEE Int. Symp. Intell. Control Mediterranean Conf. Control Autom.",

note = "20th IEEE International Symposium on Intelligent Control, ISIC '05 and the13th Mediterranean Conference on Control and Automation, MED '05 ; Conference date: 01-07-2005",

}

Wang, H, Zhang, JF & Yue, H 2005, Iterative learning control of output PDF shaping in stochastic systems. in Proceedings of the 20th IEEE International Symposium on Intelligent Control, ISIC '05 and the 13th Mediterranean Conference on Control and Automation, MED '05|Proc. IEEE Int. Symp. Intell. Control Mediterranean Conf. Control Autom.. vol. 2005, pp. 1225-1230, 20th IEEE International Symposium on Intelligent Control, ISIC '05 and the13th Mediterranean Conference on Control and Automation, MED '05, Limassol, 1/07/05. https://doi.org/10.1109/.2005.1467189

Iterative learning control of output PDF shaping in stochastic systems. / Wang, H.; Zhang, J. F.; Yue, H.
Proceedings of the 20th IEEE International Symposium on Intelligent Control, ISIC '05 and the 13th Mediterranean Conference on Control and Automation, MED '05|Proc. IEEE Int. Symp. Intell. Control Mediterranean Conf. Control Autom.. Vol. 2005 2005. p. 1225-1230.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - 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. © 2005 IEEE.

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. © 2005 IEEE.

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DO - 10.1109/.2005.1467189

M3 - Conference contribution

SN - 0780389360

SN - 9780780389366

VL - 2005

SP - 1225

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BT - Proceedings of the 20th IEEE International Symposium on Intelligent Control, ISIC '05 and the 13th Mediterranean Conference on Control and Automation, MED '05|Proc. IEEE Int. Symp. Intell. Control Mediterranean Conf. Control Autom.

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Wang H, Zhang JF, Yue H. Iterative learning control of output PDF shaping in stochastic systems. In Proceedings of the 20th IEEE International Symposium on Intelligent Control, ISIC '05 and the 13th Mediterranean Conference on Control and Automation, MED '05|Proc. IEEE Int. Symp. Intell. Control Mediterranean Conf. Control Autom.. Vol. 2005. 2005. p. 1225-1230 doi: 10.1109/.2005.1467189

Iterative learning control of output PDF shaping in stochastic systems

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