Yan Zhang, Xiangwei Liu, Jin Shi, Tian Zhang, Zhuzhong Qian
{"title":"Scenario-Based Behavioral Nonexistent Consistency Checking for Cyber-Physical Systems","authors":"Yan Zhang, Xiangwei Liu, Jin Shi, Tian Zhang, Zhuzhong Qian","doi":"10.1109/IMIS.2014.8","DOIUrl":null,"url":null,"abstract":"Cyber-Physical Systems (CPS) play an important role in the safety-critical systems. It is very significant to verify whether some concerned behaviors exist in a CPS. Hybrid interface automata, extension of a non-hybrid version, are used to model a CPS. A scenario, described by MARTE sequence diagram, specifies the concerned behaviors. An algorithm is given for bounded checking the behavioral nonexistent consistency, namely, the behaviors specified by a scenario all do not exist in a hybrid interface automaton. The idea of the algorithm is, firstly, encoding the behavioral nonexistent consistency to an unconstrained dynamic programming, secondly, solving the unconstrained dynamic programming by a genetic algorithm. The algorithm can search the results on the real domain, and be applied to nonlinear as well as linear hybrid systems.","PeriodicalId":345694,"journal":{"name":"2014 Eighth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Eighth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMIS.2014.8","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Cyber-Physical Systems (CPS) play an important role in the safety-critical systems. It is very significant to verify whether some concerned behaviors exist in a CPS. Hybrid interface automata, extension of a non-hybrid version, are used to model a CPS. A scenario, described by MARTE sequence diagram, specifies the concerned behaviors. An algorithm is given for bounded checking the behavioral nonexistent consistency, namely, the behaviors specified by a scenario all do not exist in a hybrid interface automaton. The idea of the algorithm is, firstly, encoding the behavioral nonexistent consistency to an unconstrained dynamic programming, secondly, solving the unconstrained dynamic programming by a genetic algorithm. The algorithm can search the results on the real domain, and be applied to nonlinear as well as linear hybrid systems.