Tracking performance comparison for different strategies in output PDF control

H. Yue; H. Wang; J.F. Zhang

doi:10.1109/ACC.2006.1655481

Tracking performance comparison for different strategies in output PDF control

H. Yue, H. Wang, J.F. Zhang

Electronic And Electrical Engineering

Research output: Contribution to conference › Proceeding › peer-review

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.

Original language	English
Pages	952-957
Number of pages	6
DOIs	https://doi.org/10.1109/ACC.2006.1655481
Publication status	Published - 2006
Event	American Control Conference 2006 - Minneapolis, United States Duration: 14 Jun 2006 → 16 Jun 2006

Conference

Conference	American Control Conference 2006
Country/Territory	United States
City	Minneapolis
Period	14/06/06 → 16/06/06

Keywords

pdf control
algorithms

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10.1109/ACC.2006.1655481

Cite this

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title = "Tracking performance comparison for different strategies in output PDF control",

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 standardalgorithm.",

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AU - Zhang, J.F.

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AB - 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 standardalgorithm.

KW - pdf control

KW - algorithms

U2 - 10.1109/ACC.2006.1655481

DO - 10.1109/ACC.2006.1655481

M3 - Proceeding

SP - 952

EP - 957

T2 - American Control Conference 2006

Y2 - 14 June 2006 through 16 June 2006

ER -

Tracking performance comparison for different strategies in output PDF control

Abstract

Conference

Keywords

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