Self-adaptive simulation time for sensitivity analysis of a stochastic computational model

C. Maj, C. Raibulet, G. Mauri

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review


© 2014 EUCA.Self-adaptability is the property of a system through which it adjusts its behavior in response to the perception of the environment and the system itself. The engineering of self-adaptive systems is a very active research field; more specifically, several studies are focused on how to implement self-adaptive mechanisms able to deal with variability of system's properties while preserving the attainment of the goals that have to be achieved. In this work, we describe how sensitivity analysis, a very important technique to study the behavior of computational models, can be viewed as an analytical system that has to deal with the variability of model dynamics when different model configurations are exploited. In particular, through the evaluation of a specific case study, it is shown how the development of an appropriate self-adaptive mechanism, based on a feedback control loop, enables the capability to deal with variable model dynamics in a steady state sensitivity analysis of stochastic simulations.
Original languageEnglish
Title of host publication2014 European Control Conference, ECC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9783952426913
Publication statusPublished - 22 Jul 2014
Externally publishedYes
Event13th European Control Conference, ECC 2014 - Strasbourg, France
Duration: 24 Jun 201427 Jun 2014


Conference13th European Control Conference, ECC 2014


Dive into the research topics of 'Self-adaptive simulation time for sensitivity analysis of a stochastic computational model'. Together they form a unique fingerprint.

Cite this