Title: SAMBA – an architecture for adaptive cognitive control of distributed Cyber-Physical Production Systems based on its self-awareness
Language: English
Authors: Siafara, Lydia Chaido 
Kholerdi, Hedyeh 
Bratukhin, Aleksey 
Taherinejad, Nima 
Jantsch, Axel 
Category: Research Article
Forschungsartikel
Issue Date: 2018
Journal: e & i Elektrotechnik und Informationstechnik
ISSN: 0932-383X
Abstract: 
Factories in Industry 4.0 are growing in complexity due to the incorporation of a large number of Cyber-Physical System (CPSs) which are logically and often physically distributed. Traditional monolithic control and monitoring structures are not able to address the increasing requirements regarding flexibility, operational time, and efficiency as well as resilience. Self-Aware health Monitoring and Bio-inspired coordination for distributed Automation systems (SAMBA) is a cognitive application architecture which processes information from the factory floor and interacts with the Manufacturing Execution System (MES) to enable automated control and supervision of decentralized CPSs. The proposed architecture increases the ability of the system to ensure the quality of the process by intelligently adapting to rapidly changing environments and conditions.
Keywords: self-awareness; cognitive systems; dynamic clustering; autonomous collaborating objects; system health monitoring
DOI: 10.1007/s00502-018-0614-7
Library ID: AC15324302
URN: urn:nbn:at:at-ubtuw:3-5240
Organisation: E384 - Institut für Computertechnik 
Publication Type: Article
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