Abstract
This paper demonstrates the use of noncausal operators in iterative learning control (ILC). First, it is shown that for a particular class of plants (having unstable zeros), perfect tracking can only be achieved by using noncausal operators. Then it is shown that with any converging algorithm (both causal and noncausal) we can associate a particular feedback controller. For causal algorithms this controller can be shown to be internally stabilizing. In the noncausal case, however, the associated controller is found to be generally destabilizing which implies that the existing notion of an equivalent controller for causal ILC does not extend to noncausal ILC.
Original language | English |
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Title of host publication | Proceedings of the 41st IEEE Conference on Decision and Control |
Place of Publication | Las Vegas, Nevada (USA) |
Publisher | IEEE |
Pages | 3362-3366 |
Number of pages | 5 |
ISBN (Print) | 0-7803-7516-5 |
DOIs | |
Publication status | Published - 10 Dec 2002 |
Event | 41st IEEE Conference on Decision and Control, CDC 2002 - Las Vegas, United States Duration: 10 Dec 2002 → 13 Dec 2002 Conference number: 41 |
Publication series
Name | |
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Publisher | IEEE |
Volume | 3 |
Conference
Conference | 41st IEEE Conference on Decision and Control, CDC 2002 |
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Abbreviated title | CDC |
Country/Territory | United States |
City | Las Vegas |
Period | 10/12/02 → 13/12/02 |
Keywords
- METIS-210853
- IR-43865