Iterative Learning Control of Output PDF Shaping in Stochastic Systems

Author

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

Author_Institution

Sch. of Electr. & Electron. Eng., Manchester Univ.

fYear

2005

fDate

27-29 June 2005

Firstpage

1219

Lastpage

1224

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

Keywords

control system synthesis; iterative methods; learning systems; probability; quadratic programming; splines (mathematics); stochastic systems; B-spline functions; B-spline modeling; control input design; control strategy; iterative batch; iterative learning control; nonGaussian stochastic systems; output PDF shaping; probability density function; quadratic integral performance function optimisation; Automatic control; Control systems; Electrical equipment industry; Industrial control; Probability density function; Shape control; Size control; Spline; Stochastic systems; Weight control;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control, 2005. Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation

Conference_Location

Limassol

ISSN

2158-9860

Print_ISBN

0-7803-8936-0

Type

conf

DOI

10.1109/.2005.1467189

Filename

1467189