Iterative learningcontrol algorithms are applicable to the many industrial processes that complete the same finite duration task over and over again. One example is a gantry robot executing a pick and place operation...
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ISBN:
(纸本)9781479909964
Iterative learningcontrol algorithms are applicable to the many industrial processes that complete the same finite duration task over and over again. One example is a gantry robot executing a pick and place operation in synchronization with a moving conveyor. The novel feature of these algorithms is the use of information from previous executions to update the control input for application on the next one. Iterative learningcontrol has a 2D systems structure and this paper will give an overview of recent progress on the design of iterative learningcontrol laws in this setting. A particular focus will be on the relative merits of this approach over alternatives and also experimental verification. Open research questions will also be discussed.
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