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Mathematical Problems in Engineering
Volume 2013, Article ID 609284, 9 pages
Research Article

Convergence Analysis of Wireless Remote Iterative Learning Control Systems with Dropout Compensation

1School of Communication and Information Engineering, Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, Shanghai 200072, China
2Key Laboratory of Advanced Display and System Applications, Shanghai University, Shanghai 200072, China

Received 12 December 2012; Revised 5 March 2013; Accepted 6 March 2013

Academic Editor: Mohammad Younis

Copyright © 2013 Li-xun Huang and Yong Fang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The wireless remote iterative learning control (ILC) system with random data dropouts is considered. The data dropout is viewed as a binary switching sequence which obeys the Bernoulli distribution. In order to eliminate the effect of data dropouts on the convergence property of output error, the signal at the same time with the lost one but in the last iteration is used to compensate the data dropout at the actuator. With the dropout compensation, the convergence property of output error is analyzed by studying the element values of system transition matrix. Finally, some simulation results are given to illustrate the validity of the proposed method.