OPTIMAL MEASUREMENT SCHEDULING AND DESIGN WITH DYNAMIC PROGRAMMING
Aino Ropponen, Risto Ritala
Abstract:
We shall present approaches to optimize the design of a measurement system and schedule dynamically a versatile measurement resource. The analysis is based on expressing the system management task as a dynamic programming problem in which the system state is partially observable. We shall review the well-known linearquadratic-Gaussian case, and discuss and give examples solutions of discrete state systems. Furthermore, we discuss on approximate dynamic programming methods to solve such problems in practice.
Keywords:
optimal measurement, dynamic programming, decision support
Download:
IMEKO-TC1-TC7-2008-048.pdf
DOI:
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Event details
IMEKO TC:
TC7
Event name:
TC1 & TC7 Conference 2008
Title:

12th IMEKO TC1 & TC7 Joint Symposium on "Man, Science & Measurement" (TC7)

Place:
Annecy, FRANCE
Time:
03 September 2008 - 05 September 2008
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