DocumentCode :
1743573
Title :
Optimal tracking performance: preview control and exponential signals
Author :
Zhang Ren ; Jie Chen ; Hara, Shinji ; Li Qiu
Author_Institution :
Dept. of Electr. Eng., California Univ., Riverside, CA
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
1924
Abstract :
We study tracking performance limitation problems. Two issues are addressed, concerning how earlier results developed elsewhere may be extended to more general classes of reference signals, and how tracking performance may be further improved beyond that offered by feedback control. Toward these issues we consider exponentially increasing reference inputs and examine the use of preview control for tracking. We take an optimal interpolation approach, and our purpose is to develop analytical expressions and conceptual insight which will aid in the understanding of these issues. To this effect, we derive explicit expressions for the optimal tracking error, either as exact solutions or bounds. It is found that for the exponential signals the earlier results can be directly extended, and similar conclusive statements can be drawn. It is also shown that in general preview can be used to advantage for improving tracking performance, especially in countering the effect resulting from plant nonminimum phase zeros
Keywords :
feedback; filtering theory; interpolation; predictive control; signal processing; stability; tracking; analytical expressions; exponential signals; exponentially increasing reference inputs; nonminimum phase zeros; optimal interpolation approach; optimal tracking performance; preview control; tracking performance limitation problems; Control systems; Delay effects; Distortion; Feedback control; Informatics; Interpolation; Lighting control; Optimal control; Servomechanisms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
Conference_Location :
Sydney, NSW
ISSN :
0191-2216
Print_ISBN :
0-7803-6638-7
Type :
conf
DOI :
10.1109/CDC.2000.912144
Filename :
912144
Link To Document :
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