Bayesian Statistical Analysis for Performance Evaluation in Real-Time Control Systems

Pontus Boström, Mikko Heikkilä, Mikko Huova, Marina Walden, Matti Linjama

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussaKonferenssiartikkeliTieteellinenvertaisarvioitu

Abstrakti

This paper presents a method for statistical analysis of hybrid systems affected by stochastic disturbances, such as random computation and communication delays. The method is applied to the analysis of a computer controlled digital hydraulic power management system, where such effects are present. Bayesian inference is used to perform parameter estimation and we use hypothesis testing based on Bayes factors to compare properties of different variants of the system to assess the impact of different random disturbances. The key idea is to use sequential sampling to generate only as many samples from the models as needed to achieve desired confidence in the result.
AlkuperäiskieliEi tiedossa
OtsikkoQuantitative Evaluation of Systems - 12th International Conference, QEST 2015, Madrid, Spain, September 1-3, 2015, Proceedings
ToimittajatJ Campos, BR Haverkort
KustantajaSpringer
Sivut312–328
ISBN (elektroninen)978-3-319-22264-6
ISBN (painettu)978-3-319-22263-9
DOI - pysyväislinkit
TilaJulkaistu - 2015
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaQuantitative Evaluation of Systems (QEST) - Quantitative Evaluation of Systems (QEST'15)
Kesto: 1 syysk. 20153 syysk. 2015

Konferenssi

KonferenssiQuantitative Evaluation of Systems (QEST)
Ajanjakso01/09/1503/09/15

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