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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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  • DOI:
    _unreg_tc7-2008.048

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