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Model checking response times in Networked Automation Systems using jitter bounds
Affiliation:1. Department of Engineering, University of Sannio, Benevento, Italy;2. Department of Engineering, University of Naples, Federico II, Naples, Italy;3. Department of Computer Science, Tallinn University of Technology, Tallinn, Estonia;4. ABB Inc., USA;1. Department of Audiology, Faculty of Rehabilitation Sciences, Iran University of Medical Sciences (IUMS), Tehran, Iran;2. Department of Otolaryngology, Head and Neck Surgery, School of Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran;3. Department of Audiology, Faculty of Rehabilitation Sciences, Tehran University of Medical Sciences (TUMS), Tehran, Iran;4. Department of Basic Sciences in Rehabilitation, School of Rehabilitation Sciences, Iran University of Medical Sciences (IUMS), Tehran, Iran;1. Department of Industrial and System Engineering/Engineering Research Institute, Gyeongsang National University, South Korea;2. Department of Industrial Engineering, Changwon National University, South Korea;1. Instituto de Telecomunicações, University of Beira Interior, Polytechnic Institute of Castelo Branco, Rua Marquês D’Ávila e Bolama, 6201-001 Covilhã, Portugal;2. Instituto de Telecomunicações, University of Beira Interior, Rua Marquês D’Ávila e Bolama, 6201-001 Covilhã, Portugal;3. University ITMO, Kronverkskiy pr, 49, 197101 St. Petersburg, Russia;4. University of Haute Alsace – IUT, 34 rue du Grillenbreit, 68008 Colmar, France;5. CISTER Research Unit, ISEP/IPP, Rua Dr. Antonio Bernardino de Almeida, 431, 4200-072 Porto, Portugal;1. Tsinghua National Laboratory for Information Science and Technology, Research Institute of Information Technology, Tsinghua University, No. 1 Tsinghua Yuan, Beijing 10084, China;2. Fuwai Hospital, Chinese Academy of Medical Science, North Lishi Road, Xicheng District, Beijing 100037, China;3. Beijing University of Posts and Telecommunications, Beijing 100876, China;4. IBISC Laboratory, University of Evry, 23 Bd de France, 91034 Évry, France;1. College of Information Science and Technology, Bohai University, Jinzhou 121013, Liaoning, China;2. School of Electrical and Electronic Engineering, University of Adelaide, Adelaide, SA 5005, Australia;3. College of Engineering and Science, Victoria University, Melbourne, VIC 8001, Australia;4. College of Automation, Harbin Engineering University, Harbin, Heilongjiang 150001, China;5. College of Engineering, Bohai University, Jinzhou 121013, Liaoning, China;6. Department of Electrical and Computer Engineering, University of Auckland, Private Bag 92019, Auckland, 1142 New Zealand
Abstract:Response time (RT) of Networked Automation Systems (NAS) is affected by timing imperfections induced due to the network, computing and hardware components. Guaranteeing RT in the presence of such timing imperfections is essential for building dependable NAS, and to avoid costly upgrades after deployment in industries.This investigation proposes a methodology and work-flow that combines modelling, simulation, verification, experiments, and software tools to verify the RT of the NAS during the design, rather than after deployment. The RT evaluation work-flow has three phases: model building, modelling and verification. During the model building phase component reaction times are specified and their timing performance is measured by combining experiments with simulation. During the modelling phase, component based mathematical models that capture the network architecture and inter-connection are proposed. Composition of the component models gives the NAS model required for studying the RT performance on system level. Finally, in the verification step, the NAS formal models are abstracted as UPPAAL timed automata with their timing interfaces. To model timing interfaces, the action patterns, and their timing wrapper are proposed. The formal model of high level of abstraction is used to verify the total response time of the NAS where the reactions to be verified are specified using a subset of timed computation tree logic (TCTL) in UPPAAL model checker. The proposed approach is illustrated on an industrial steam boiler deployment.
Keywords:Networked Automation Systems (NAS)  Jitter  Timed-automata  Model checking  Network latencies  Industrial automation  Response time (RT)
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