Algorithms for scheduling of Hidden Markov model sensors

被引：0
|
作者：
Krishnamurthy, V [1 ]
Wahlberg, B [1 ]
机构：
[1] Univ Melbourne, Dept Elect Engn, Melbourne, Vic 3010, Australia
来源：
PROCEEDINGS OF THE 40TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-5 | 2001年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Consider the Hidden Markov model estimation problem where the realization of a single Markov chain is observed by a number of noisy sensors. The sensor scheduling problem for the resulting Hidden Markov model is as follows: Design an optimal algorithm for selecting at each time instant, one of the many sensors to provide the next measurement. Each measurement has an associated measurement cost. The problem is to select an optimal measurement scheduling policy, so as to minimize a cost function of estimation errors and measurement costs.
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收藏
页码：4818 / 4819
页数：2
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