Middleware-based Support for Reconfigurable Mechatronic Systems

Priego, Rafael; Agirre, Aitor; Estévez, Elisabet; Orive, D.; Marcos, Marga

doi:10.1016/j.ifacol.2015.08.112

Cited by 3 publications

(1 citation statement)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[14] presents a preliminary work on a multi-agent system (MAS) which provides fault tolerance to controller faults, recovering the whole execution in other controller. [15] introduces the concept of Mechatronic Component (MC) as the code in charge of controlling a part of the process, and it analyzes when it is possible to recover its functionality after a controller fault. In [16], the concept of backup MC for state tracking is proposed.…”

Section: Introductionmentioning

confidence: 99%

Agent-based middleware architecture for reconfigurable manufacturing systems

Priego

Iriondo

Gangoiti

et al. 2017

Int J Adv Manuf Technol

View full text Add to dashboard Cite

Modern manufacturing systems are expected to be flexible and efficient in order to cope with challenging market demands. Thus, they must be flexible enough as to meet changing requirements such as changes in production, energy efficiency, performance optimization, fault tolerance to process or controller faults, among others. Demanding requirements can be defined as a set of quality of service (QoS) requirements to be met. This paper proposes a generic and customizable multi-agent architecture that, making use of distributed agents, monitors QoS, triggering, if needed, a reconfiguration of the control system to recover QoS. As a proof of concept, the architecture has been implemented to provide availability of the control system understood as service continuity. The prototype has been tested in a case study consisting of an assembly cell where assessment of the approach has been conducted.

show abstract

Section: Introductionmentioning

confidence: 99%

Agent-based middleware architecture for reconfigurable manufacturing systems

Priego

Iriondo

Gangoiti

et al. 2017

Int J Adv Manuf Technol

View full text Add to dashboard Cite

show abstract

Modeling languages in Industry 4.0: an extended systematic mapping study

et al. 2019

View full text Add to dashboard Cite

Industry 4.0 integrates Cyber-Physical Systems with the Internet of Things to optimize the complete value-added chain. Successfully applying Industry 4.0 requires the cooperation of various stakeholders from different domains. Domain-specific modeling languages promise to facilitate their involvement through leveraging (domain-specific) models to primary development artifacts. Objective: We aim to assess the use of modeling in Industry 4.0 through the lens of modeling languages in a broad sense. Method: Based on an extensive literature review, we updated our systematic mapping study on modeling languages and modeling techniques used in Industry 4.0 [159] to include publications until February 2018. Overall, the updated study considers 3344 candidate publications that were systematically investigated until 408 relevant publications were identified. Based on these, we developed an updated map of the research landscape on modeling languages and techniques for Industry 4.0. Results: Research on modeling languages in Industry 4.0 focuses on contributing methods to solve the challenges of digital representation and integration. To this end, languages from systems engineering and knowledge representation are applied most often but rarely combined. There also is a gap between the communities researching and applying modeling languages for In

show abstract