%0 Journal Article %1 tomforde2018comparing %A Tomforde, Sven %A Kantert, Jan %A Müller-Schloer, Christian %A Bödelt, Sebastian %A Sick, Bernhard %D 2018 %I Springer %J Transactions on Computational Collective Intelligence %K imported %P 193--220 %R 10.1007/978-3-319-78301-7_9 %T Comparing the Effects of Disturbances in Self-adaptive Systems - A Generalised Approach for the Quantification of Robustness %V 28 %X Self-adaptation and self-organisation (SASO) are increasingly used in information and communication technology to master complexity and keep the administrative effort at an acceptable level. However, using SASO mechanisms is not an end in itself -- the primary goal is typically to allow for a higher autonomy of systems in order to react appropriately to disturbances and dynamics in the environmental conditions. We refer to this goal as achieving "robustness". During design-time, engineers have different possibilities to develop SASO mechanisms for an underlying control problem. When deciding which path to follow, an analysis of the inherent robustness of possible solutions is necessary. In this article, we present a novel quantification method for robustness that provides the basis to compare different control strategies in similar conditions.

@article{tomforde2018comparing, abstract = {Self-adaptation and self-organisation (SASO) are increasingly used in information and communication technology to master complexity and keep the administrative effort at an acceptable level. However, using SASO mechanisms is not an end in itself -- the primary goal is typically to allow for a higher autonomy of systems in order to react appropriately to disturbances and dynamics in the environmental conditions. We refer to this goal as achieving "robustness". During design-time, engineers have different possibilities to develop SASO mechanisms for an underlying control problem. When deciding which path to follow, an analysis of the inherent robustness of possible solutions is necessary. In this article, we present a novel quantification method for robustness that provides the basis to compare different control strategies in similar conditions.}, added-at = {2022-01-07T10:37:59.000+0100}, author = {Tomforde, Sven and Kantert, Jan and M{\"{u}}ller{-}Schloer, Christian and B{\"{o}}delt, Sebastian and Sick, Bernhard}, biburl = {https://www.bibsonomy.org/bibtex/23f5a3951a3c8e2574cb3ecc0d7179084/ies}, doi = {10.1007/978-3-319-78301-7_9}, interhash = {b57df83f0113edca18bb17509c7fb944}, intrahash = {3f5a3951a3c8e2574cb3ecc0d7179084}, journal = {Transactions on Computational Collective Intelligence}, keywords = {imported}, pages = {193--220}, publisher = {Springer}, timestamp = {2022-01-07T10:37:59.000+0100}, title = {Comparing the Effects of Disturbances in Self-adaptive Systems - {A} Generalised Approach for the Quantification of Robustness}, volume = 28, year = 2018 }