D. Chivilikhin, V. Ulyantsev, A. Shalyto, V. Vyatkin
{"title":"CSP-based inference of function block finite-state models from execution traces","authors":"D. Chivilikhin, V. Ulyantsev, A. Shalyto, V. Vyatkin","doi":"10.1109/INDIN.2017.8104860","DOIUrl":null,"url":null,"abstract":"A method for inferring finite-state models of function blocks from given execution traces based on translation to the constraint satisfaction problem (CSP) is proposed. In contrast to the previous method based on a metaheuristic algorithm, the approach suggested in this paper is exact: it allows to find a solution if it exists or to prove the opposite. The proposed method is evaluated on the example of constructing a finite-state model of a controller for a Pick-and-Place manipulator and is shown to be significantly faster then the metaheuristic algorithm.","PeriodicalId":6595,"journal":{"name":"2017 IEEE 15th International Conference on Industrial Informatics (INDIN)","volume":"23 1","pages":"714-719"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 15th International Conference on Industrial Informatics (INDIN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDIN.2017.8104860","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
A method for inferring finite-state models of function blocks from given execution traces based on translation to the constraint satisfaction problem (CSP) is proposed. In contrast to the previous method based on a metaheuristic algorithm, the approach suggested in this paper is exact: it allows to find a solution if it exists or to prove the opposite. The proposed method is evaluated on the example of constructing a finite-state model of a controller for a Pick-and-Place manipulator and is shown to be significantly faster then the metaheuristic algorithm.