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A Framework for Statechart Based Component Reconfiguration

Xabier Elkorobarrutia, Mikel Muxika, Goiuri Sagardui, Frank Barbier, Xabier Aretxandieta
2008 Fifth IEEE Workshop on Engineering of Autonomic and Autonomous Systems (ease 2008)  
In addition to supporting a Model Driven development style, the framework creates a reflective architecture of the component without any involvement from the developer.  ...  The latter can also be considered as a support for coping with incomplete or bad specifications due to the lack of exact knowledge of the environment.  ...  First of all, following the same philosophy of [5] , it permits a Model Driven style of development. To illustrate this, consider the statechart of Figure 1 .  ... 
doi:10.1109/ease.2008.11 fatcat:nz7quztpzffptiddmgfsejyede

Reconfigurable Knowledge-based Control Solutions for Responsive Manufacturing Systems

Alessandro BRUSAFERI, Andrea BALLARINO, Emanuele CARPANZANO
2011 Studies in Informatics and Control  
In such a context, the present paper describes an automation solution based on a modular distributed approach for agile factories integration and reconfiguration, integrating a knowledge based cooperation  ...  policy providing self-adaptation to endogenous as well as exogenous events.  ...  Such paradigm is oriented to the adoption of machine interpretable information supporting the implementation of intelligent control solutions based on formal knowledge models.  ... 
doi:10.24846/v20i1y201103 fatcat:d3fmmq3shrcvvhtdgzvgpstb5i

Now That's Smart!

Valeriy Vyatkin, Zoran Salcic, Partha Roop, John Fitzgerald
2007 IEEE Industrial Electronics Magazine  
We describe an experiment conducted on a laboratory model of an intelligent manufacturing system with the goal of achieving the PnP configurability and reconfiguration by employing IEC 61499 control.  ...  The key enablers of the flexibility in this new standard are: the encapsulation of knowledge into function blocks, the application model as a network of function blocks, the device model providing the  ... 
doi:10.1109/mie.2007.909540 fatcat:eveyib6ovjdgrmh3ixd4ukezoy

Exploiting Queuing Networks to Model and Assess the Performance of Self-Adaptive Software Systems: A Survey

Davide Arcelli
2020 Procedia Computer Science  
of clarifying the state-of-art in exploiting such a notation to model and assess performance of Self-Adaptive Software Systems.  ...  of clarifying the state-of-art in exploiting such a notation to model and assess performance of Self-Adaptive Software Systems.  ...  the three systematic studies in the knowledge base, i.e  ... 
doi:10.1016/j.procs.2020.03.108 fatcat:onohipnsefctdmkagdvxmpyxrq

The challenges, approaches, and used techniques of CPS for manufacturing in Industry 4.0: a literature review

Baudouin Dafflon, Nejib Moalla, Yacine Ouzrout
2021 The International Journal of Advanced Manufacturing Technology  
AbstractThis work aims to review literature related to the latest cyber-physical systems (CPS) for manufacturing in the revolutionary Industry 4.0 for a comprehensive understanding of the challenges, approaches  ...  Although the key technologies of Industry 4.0 are the CPS, Internet of Things (IoT), and Internet of Services (IoS), the human component (HC), cyber component (CC), physical component (PC), and their HC-CC  ...  The first draft of the manuscript was written by the three authors and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.  ... 
doi:10.1007/s00170-020-06572-4 fatcat:2qo42mk4mjhcricvb6bpy7jizi

Agent and Cyber-Physical System Based Self-Organizing and Self-Adaptive Intelligent Shopfloor

Yingfeng Zhang, Cheng Qian, Jingxiang Lv, Ying Liu
2017 IEEE Transactions on Industrial Informatics  
The task-driven self-organizing model for manufacturing systems is analyzed in Section V, and the real-time information-driven self-adaptive manufacturing model is described in Section VI.  ...  Smart Machine Agent (SMA) based on CPS.  ...  The Logical Flow of the Self-organizing Model Fig. 4 . Task-driven Self-organizing Model Fig. 4 illustrates the framework of the task-driven selforganizing manufacturing model.  ... 
doi:10.1109/tii.2016.2618892 fatcat:a4u7n5g64bfuxdgahp3bpcw7lq

Agent-Based, Distributed Diagnosis for Shipboard Systems [chapter]

Gregory Provan, Yi-Liang Chen
2002 Knowledge and Technology Integration in Production and Services  
We describe the agent-based, distributed diagnostic aspects of a distributed control architecture that integrates multiple ship systems and provides resource-and diagnostic-driven reconfiguration at multiple  ...  We embed system-and subsystem models in distributed, agent-based components to provide distributed diagnostics. We demonstrate this architecture using a shipboard chilled water system application.  ...  A model not only captures an expert's knowledge, but is a rigorous description of how a system works based on first principles.  ... 
doi:10.1007/978-0-387-35613-6_31 fatcat:k7x7jscsvzag5mo6jyoogy3mwi

A Framework for Constructing Adaptive and Reconfigurable Systems

Pierre-Etienne Poirot, Jerzy Nogiec, Shangping Ren
2008 IEEE Transactions on Nuclear Science  
In this approach, based on the control loop paradigm commonly used in industrial control, self-adaptation is decomposed into observing system events, inferring necessary changes based on a system's functional  ...  This paper presents a software approach to augmenting existing real-time systems with self-adaptation capabilities.  ...  The framework includes an inference module based on Jess, a sophisticated knowledge engine developed at Sandia Lab [11] , an event-driven FSM module to represent the system as a state machine, and a multithreaded  ... 
doi:10.1109/tns.2007.913488 fatcat:jkmsqxiiqbcf5msvg36vm5cd4i

A framework for constructing adaptive and reconfigurable systems

Pierre-Etienne Poirot, Jerzy Nogiec, Shangping Ren
2007 2007 15th IEEE-NPSS Real-Time Conference  
In this approach, based on the control loop paradigm commonly used in industrial control, self-adaptation is decomposed into observing system events, inferring necessary changes based on a system's functional  ...  This paper presents a software approach to augmenting existing real-time systems with self-adaptation capabilities.  ...  The framework includes an inference module based on Jess, a sophisticated knowledge engine developed at Sandia Lab [11] , an event-driven FSM module to represent the system as a state machine, and a multithreaded  ... 
doi:10.1109/rtc.2007.4382751 fatcat:cyv6jy4lz5e3lgohecvznoraom

Integrating Semantic Run-Time Modelsfor Adaptive Software Systems

Francesco Poggi, Davide Rossi, Paolo Ciancarini
2019 Journal of Web Engineering  
An architecture-based approach to self-adaptation was first developed in [5] , exploiting architectural models to represent complex systems in terms of components, relations, and properties.  ...  More recently, the emerging field of Model Driven Engineering (MDE) [8] called Models@Run.time [4] extended this approach, investigating the use of different models to represent the knowledge required  ...  Another example is FRAMESELF [34] , an ontology-based framework designed for the self-configuration of Machine-to-machine (M2M) architectures and communications.  ... 
doi:10.13052/jwe1540-9589.18131 fatcat:hz3ox762ojfwrkpnxhxnmt6up4

Information Modeling and Knowledge Management Approach to Reconfiguring Manufacturing Enterprises

Muhammad Baqar Raza, Robert Harrison
2011 International Journal of Advanced Information Technology  
A methodology is developed to facilitate Ford Company to quickly model and re-configure new/changed assembly line for building new/changed engine.  ...  The focus remained on the real industrial challenge of rapid constraint evaluation for designing and/or reconfiguration of Powertrain assembly lines to cater for a new/changed product.  ...  ACKNOWLEDGEMENTS The authors gratefully acknowledge the support of UK EPSRC and Loughborough University's IMCRC through Business Driven Automation (BDA) project.  ... 
doi:10.5121/ijait.2011.1301 fatcat:obo5ldntpbcplbuy4jkmh65kbu

Usability of Multi-agent Based Control Systems in Industrial Automation [chapter]

Ivanka Terzic, Alois Zoitl, Martijn Rooker, Thomas Strasser, Pavel Vrba, Vladimir Mařík
2009 Lecture Notes in Computer Science  
of user acceptance and understanding of such highly intelligent reconfigurable systems.  ...  The design and development of both the architecture for simplifying of development of such systems and the advanced diagnostic, monitoring, and humaninteraction system will provide an easy maintenance  ...  In order to increase the machine utilization, the agent-based control system was developed for dynamic selection and configuration of production resources.  ... 
doi:10.1007/978-3-642-03668-2_3 fatcat:iw2hdreq4fe4nlhmmz4xcgvnn4

Artificial Intelligence-Based Decision-Making Algorithms, Internet of Things Sensing Networks, and Deep Learning-Assisted Smart Process Management in Cyber-Physical Production Systems

Mihai Andronie, George Lăzăroiu, Mariana Iatagan, Cristian Uță, Roxana Ștefănescu, Mădălina Cocoșatu
2021 Electronics  
processes", and "sustainable Internet of Things-based manufacturing systems".  ...  Subsequent analyses should develop on real-time sensor networks, so as to configure the importance of artificial intelligence-driven big data analytics by use of cyber-physical production networks.  ...  Self-adaptive reconfigurable manufacturing systems are crucial in the operational modeling design, where the processes have to be assimilated into the system monitoring behavior.  ... 
doi:10.3390/electronics10202497 fatcat:rryhw72fhvalloix23qkxwh4ca

Improved Resilience Controllers Using Cognitive Patterns

Ricardo Sanz, Carlos Hernandez, Julita Bermejo, Manuel Rodriguez, Ignacio Lopez
2014 IFAC Proceedings Volumes  
A reference architecture for self-aware autonomous systems is synthesised from these patterns and demonstrated in the control of an autonomous mobile robot.  ...  The term "autonomous" gains a deeper significance in this context of reflective, pattern based controllers.  ...  This Functional Metamodel has to be machine readable to be usable by a model-based controller.  ... 
doi:10.3182/20140824-6-za-1003.02433 fatcat:ywjjkx5bzfbz5per62d5eakpk4

CAMeL: A Self-Adaptive Framework for Enriching Context-Aware Middlewares with Machine Learning Capabilities

Nicola Bicocchi, Damiano Fontana, Franco Zambonelli
2019 Mobile Information Systems  
The framework is focused on acquiring contextual information from sensors providing loosely structured data without the need for developers of implementing dedicated application code or making use of external  ...  We show with experiments and case studies how the CAMeL framework can (i) promote code reuse and reduce the complexity of context-aware applications by natively supporting machine learning capabilities  ...  Although the model is event-driven and based on finite-state machines, adaptation is provided for a given scene and not for an event. ese state machines are predefined and cannot be customised dynamically  ... 
doi:10.1155/2019/1209850 fatcat:w66pp2fjardi5oflte5n3d7tvm
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