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Behavior Prediction of Cyber-Physical Systems for Dynamic Risk Assessment

: Grobelna, Marta

Postprint urn:nbn:de:0011-n-6407144 (304 KByte PDF)
MD5 Fingerprint: faa87ce852fdfd91b11fb5ad7e0270e2
Created on: 2.10.2021

Adler, Rasmus (Editor); Bennaceur, Amel (Editor); Burton, Simon (Editor); Salle, Amleto di (Editor); Nostro, Nicola (Editor); Olsen, Rasmus Løvenstein (Editor); Saidi, Selma (Editor); Schleiß, Philipp (Editor); Schneider, Daniel (Editor); Schwefel, Hans-Peter (Editor) ; Fraunhofer-Institut für Kognitive Systeme -IKS-, München; Intel Deutschland, Neubiberg; Fraunhofer-Institut für Experimentelles Software Engineering -IESE-, Kaiserslautern:
Dependable Computing - EDCC 2021 Workshops. Proceedings : DREAMS, DSOGRI, SERENE 2021, Munich, Germany, September 13, 2021
Cham: Springer Nature, 2021 (Communications in computer and information science 1462)
ISBN: 978-3-030-86506-1 (Print)
ISBN: 978-3-030-86507-8
DOI: 10.1007/978-3-030-86507-8
European Dependable Computing Conference (EDCC) <17, 2021, Online>
Workshop on Dynamic Risk managEment for Autonomous Systems (DREAMS) <2, 2021, Online>
Bayerisches Staatsministerium für Wirtschaft, Landesentwicklung und Energie StMWi

Conference Paper, Electronic Publication
Fraunhofer IKS ()
Dynamic risk management; game theory; reachability analysis; self-adaptation; cyber-physical system; CPS; autonomous system; safety; hazardous situation

Cyber-Physical Systems, such as autonomous vehicles, have the potential for providing more safety by restricting the impact of potentially unreliable human operators. However, ensuring that the system, i.e. the CPS under consideration, will behave safely under any conditions is not straightforward. The complexity of the environment and the system itself, causes uncertainties that need to be considered by the safety measures. The challenge for an autonomous system is to find the optimal trade-off between safety and utility without human intervention. Consequently, such systems has to be self-adaptive and predictive in order to forecast hazardous situations and react to them before the happen. This paper sketches how reachability analysis in combination with game theory can be used to predict risk of hazardous situations.