DocumentCode :
2420980
Title :
Dependability aspects of model-based systems design for mechatronic systems
Author :
Janschek, Klaus ; Morozov, Andrey
Author_Institution :
Inst. of Autom., Tech. Univ. Dresden (TU Dresden), Dresden, Germany
fYear :
2015
fDate :
6-8 March 2015
Firstpage :
15
Lastpage :
22
Abstract :
This paper discusses modern model-based design aspects for ensuring high dependability of mechatronic systems, i.e. ensuring most reliable and safe operation under presence of non-avoidable threats. An introductory assessment clarifies relevant terms of reference such as “systems” (in particular mechatronic systems), “models”, “design” and “dependability” with special focus on the effect of threats (faults, errors, failures). The further considerations give answers to the questions “What `dependability´ models (methods) have to be used?” and “How to work with these `dependability´ models (methods)?” in the context of building dependable systems that are robust against threats. Results of current research at the TU Dresden Automation Engineering Lab demonstrate the successful applicability of model-based system threat analysis to control systems for robotic vehicles introducing new concepts such as dual graph error propagation model, error propagation for hybrid block diagram and finite state machine models, error propagation in multi-rate time discrete models, optimized software-implemented fault tolerance and model-based selective regression testing.
Keywords :
design engineering; mechatronics; mobile robots; TU Dresden Automation Engineering Lab; control systems; dependability aspects; dependability model; dependable systems; dual graph error propagation model; errors; failures; faults; finite state machine models; hybrid block diagram; mechatronic systems; model-based selective regression testing; model-based system design; model-based system threat analysis; multirate time discrete models; operation reliability; operation safety; optimized software-implemented fault tolerance; robotic vehicles; Analytical models; Computational modeling; Context; Mechatronics; System analysis and design; Unified modeling language; Markov chain; automated model transform; dependability; error propagation; mechatronic systems; model-based design; probabilistic model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics (ICM), 2015 IEEE International Conference on
Conference_Location :
Nagoya
Type :
conf
DOI :
10.1109/ICMECH.2015.7083940
Filename :
7083940
Link To Document :
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