Abstract
Two predictive PDF control algorithms and one new algorithm of iterative learning PDF control have been compared with the standard PDF control of dynamic systems. The two predictive algorithms are developed on the general 2-norm distance and the Kullback-Leibler performance, respectively. A new iterative algorithm is proposed in which the control input in the current batch is updated based on the control input and the PDF tracking errors in the previous batch. Simulation studies demonstrate the improvement in PDF tracking performance when advanced control strategies are introduced to the standard algorithm. © 2006 IEEE.
| Original language | English |
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| Title of host publication | Proceedings of the American Control Conference|Proc Am Control Conf |
| Pages | 952-957 |
| Number of pages | 5 |
| Volume | 2006 |
| Publication status | Published - 2006 |
| Event | 2006 American Control Conference - Minneapolis, MN Duration: 1 Jul 2006 → … |
Conference
| Conference | 2006 American Control Conference |
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| City | Minneapolis, MN |
| Period | 1/07/06 → … |