NDLI: Intrinsic Flexibility and Robustness in Adaptive Systems: A Conceptual Framework

Content Provider	IEEE Xplore Digital Library
Author	Kubisch, S. Hecht, R. Salomon, R. Timmermann, D.
Copyright Year	2006
Description	Author affiliation: Inst. of Appl. Microelectron. & Comput. Eng., Rostock Univ. (Kubisch, S.; Hecht, R.; Salomon, R.; Timmermann, D.)
Abstract	Dealing with uncertainty is an important issue in a broad range of research fields and industrial applications. For example with outer space missions or unmanned vehicles in perilous environs, today's and future systems have to adapt to changing environmental conditions. But high specialization of today's systems also results in decreased robustness and flexibility. These systems show high performance. But in dynamic environments, they lack flexibility as well as robustness. In case of failure or changing conditions, also referred to as uncertainty or uncertain events, flexibility and robustness are crucial. Based on the proverb "prevention is better than cure!", mechanisms have to be implemented in technical systems to diminish the contrary behavior of robustness and flexibility compared to specialization. A conceptual framework based on a library related to concurrent version systems is proposed. Every change and modification on the system configuration is minuted over time. Thereby, the ability to fall back on a stable system state in critical situations, traps or impasses assures robustness and survivability
Starting Page	98
Ending Page	103
File Size	459989
Page Count	6
File Format	PDF
ISBN	1424401666
DOI	10.1109/SMCALS.2006.250698
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-07-24
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness Adaptive systems Uncertainty Neural networks Vehicle dynamics Immune system Microelectronics Automotive engineering Computer industry Application software Adaptive Systems Flexibility
Content Type	Text
Resource Type	Article

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