DocumentCode
2819412
Title
Time aggregation based optimal control and Lebesgue sampling
Author
Xu, Yan-Kai ; Cao, Xi-Ren
Author_Institution
Tsinghua Univ., Beijing
fYear
2007
fDate
12-14 Dec. 2007
Firstpage
5904
Lastpage
5909
Abstract
Time aggregation based optimal control model is proposed in the paper, by using Lebesgue sampling technique. Time aggregation approach in MDP (Markov decision processes) theory is applied to handle the problem, then policy iteration can be implemented. Both analytical solution and sample path based optimization algorithms are given. Compared with periodic sampling based approach, Lebesgue sampling based approach can be applied to practical control systems to obtain improvement in system performance and reduction in resource utilization.
Keywords
Markov processes; optimal control; optimisation; periodic control; sampled data systems; Lebesgue sampling; Markov decision process; control system; optimal control; optimization algorithm; periodic sampling; policy iteration; resource utilization; system performance; time aggregation; Algorithm design and analysis; Communication system control; Control systems; Cost function; Frequency; Optimal control; Resource management; Sampling methods; System performance; USA Councils;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2007 46th IEEE Conference on
Conference_Location
New Orleans, LA
ISSN
0191-2216
Print_ISBN
978-1-4244-1497-0
Electronic_ISBN
0191-2216
Type
conf
DOI
10.1109/CDC.2007.4434308
Filename
4434308
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