On Iterative Learning Control for Remote Control Systems with Packet Losses
The problem of iterative learning control (ILC) is considered for a class of time-varying systems with random packet dropouts. It is assumed that an ILC scheme is implemented via a remote control system and that packet dropout occurs during the packet transmission between the ILC controller and the...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2013-01-01
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| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2013/245372 |
| Summary: | The problem of iterative learning control (ILC) is considered
for a class of time-varying systems with random packet dropouts. It is assumed that an ILC scheme is implemented via a remote control system
and that packet dropout occurs during the packet transmission between the ILC controller and the actuator of
remote plant. The packet dropout is viewed as a binary switching sequence which is subject to the Bernoulli distribution.
In order to eliminate the effect of packet dropouts on the convergence property of output error,
the hold-input scheme is adopted to compensate the packet dropout at the actuator.
It is shown that the hold-input scheme with average ILC can achieve asymptotical convergence
along the iteration axis for discrete time-varying linear system. Numerical examples are provided to show the effectiveness of the proposed method. |
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| ISSN: | 1110-757X 1687-0042 |