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

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IMEKO-TC1-TC7-2008-048.pdf

DOI

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IMEKO TC

TC1 - Education and Training in Measurement and Instrumentation

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