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.
%0 Conference Paper
%1 4434308
%A Xu, Yan-Kai
%A Cao, Xi-Ren
%B Decision and Control, 2007 46th IEEE Conference on
%D 2007
%K event_driven send_on_delta
%P 5904 -5909
%R 10.1109/CDC.2007.4434308
%T Time aggregation based optimal control and Lebesgue sampling
%U http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=4434308&contentType=Conference+Publications&searchField%3DSearch_All%26queryText%3D.QT.Lebesgue+Sampling.QT.
%X 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.
@inproceedings{4434308,
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.},
added-at = {2012-05-25T15:41:52.000+0200},
author = {Xu, Yan-Kai and Cao, Xi-Ren},
biburl = {https://www.bibsonomy.org/bibtex/2bebd1da5cef0e23040e48b31d13af745/romeroj},
booktitle = {Decision and Control, 2007 46th IEEE Conference on},
description = {IEEE Xplore - Abstract Page},
doi = {10.1109/CDC.2007.4434308},
interhash = {dc9c681e2bff64cc03c8cebba20bfbad},
intrahash = {bebd1da5cef0e23040e48b31d13af745},
issn = {0191-2216},
keywords = {event_driven send_on_delta},
month = {dec.},
pages = {5904 -5909},
timestamp = {2012-05-25T15:41:52.000+0200},
title = {Time aggregation based optimal control and Lebesgue sampling},
url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=4434308&contentType=Conference+Publications&searchField%3DSearch_All%26queryText%3D.QT.Lebesgue+Sampling.QT.},
year = 2007
}