OPTIMAL MEASUREMENT SCHEDULING AND DESIGN WITH DYNAMIC PROGRAMMING |
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| 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:
- -
- 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