A rule-based smart control for fail-operational systems

Georg Engel, Gerald Schweiger, Franz Wotawa, Martin Zimmermann*

*Korrespondierende/r Autor/-in für diese Arbeit

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandBegutachtung

Abstract

When systems become smarter they have to cope with faults occurring during operation in an intelligent way. For example, an autonomous vehicle has to react appropriately in case of a fault occurring during driving on a highway in order to assure safety for passengers and other humans in its surrounding. Hence, there is a need for fail-operational systems that extend the concept of fail-safety. In this paper, we introduce a method that relies on rules for controlling a system. The rules specify the behavior of the system including behavioral redundancies. In addition, the method provides a runtime execution engine that selects the rules accordingly to reach a certain goal. In addition, we present a language and an implementation of the method and discuss its capabilities using a case study from the mobile robotics domain. In particular, we show how the rule-based fail-operational system can adapt to a fault occurring at runtime.

Originalspracheenglisch
TitelAdvances and Trends in Artificial Intelligence. From Theory to Practice - 32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019, Proceedings
Redakteure/-innenFranz Wotawa, Ingo Pill, Roxane Koitz-Hristov, Gerhard Friedrich, Moonis Ali
Herausgeber (Verlag)Springer-Verlag Italia
Seiten137-145
Seitenumfang9
ISBN (Print)9783030229986
DOIs
PublikationsstatusVeröffentlicht - 1 Jan. 2019
Veranstaltung32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems - Graz, Österreich
Dauer: 9 Juli 201911 Juli 2019

Publikationsreihe

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band11606 LNAI
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349

Konferenz

Konferenz32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems
KurztitelIEA/AIE 2019
Land/GebietÖsterreich
OrtGraz
Zeitraum9/07/1911/07/19

ASJC Scopus subject areas

  • Informatik (insg.)

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