Error Estimate for Remote ILC System with Gauss Channel Noise

Author

Huachao, Yan ; Yong, Fang

Author_Institution

Key Lab. of Specialty Fiber Opt. & Opt. Access Networks, Shanghai Univ., Shanghai, China

Volume

2

fYear

2011

fDate

28-29 March 2011

Firstpage

540

Lastpage

543

Abstract

In this paper, the iterative learning control (ILC) problem is considered for a class of remote control system over wireless network communication channel. The control performance of remote iterative learning control (R-ILC) system is analyzed and an effective method is proposed to estimate the stable mean square error of the R-ILC system caused by Gauss white noise induced by the wireless channel. The simulation results show the effectiveness of the estimate method.

Keywords

Gaussian noise; adaptive control; iterative methods; learning systems; mean square error methods; radiocommunication; telecommunication control; white noise; Gauss channel noise; Gauss white noise; error estimation; iterative learning control; mean square error; remote ILC system; remote control system; wireless network communication channel; Control systems; Mean square error methods; Simulation; Vectors; White noise; Wireless communication; Gauss white noise; R-ILC; mean square error; remote control system;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on

Conference_Location

Shenzhen, Guangdong

Print_ISBN

978-1-61284-289-9

Type

conf

DOI

10.1109/ICICTA.2011.420

Filename

5750945