{"title":"Simulating Hybrid Petri nets with general transitions and non-linear differential equations","authors":"Mathis Niehage, Carina Pilch, Anne Remke","doi":"10.1145/3388831.3388842","DOIUrl":null,"url":null,"abstract":"Hybrid Petri nets with general transitions (HPnGs) are a modeling formalism with discrete, continuous and random variables, and have successfully been used to model critical infrastructures. Previous work extended the continuous dynamics to linear time-invariant systems, simulated via a quantized state space approach in the tool HYPEG. This method discretizes the state space to approximate solutions of the linear time-invariant systems. This paper extends the set of equations to non-linear ordinary differential equations (ODEs) by adding well known time-discrete methods. These can now be integrated in an extendable way, since HYPEG has been adapted to deal with time-discretization as part of this work. The results of the new implementation are validated on a battery model with linear ODEs and furthermore used to compute results for a heating model with non-linear ODEs.","PeriodicalId":419829,"journal":{"name":"Proceedings of the 13th EAI International Conference on Performance Evaluation Methodologies and Tools","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 13th EAI International Conference on Performance Evaluation Methodologies and Tools","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3388831.3388842","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Hybrid Petri nets with general transitions (HPnGs) are a modeling formalism with discrete, continuous and random variables, and have successfully been used to model critical infrastructures. Previous work extended the continuous dynamics to linear time-invariant systems, simulated via a quantized state space approach in the tool HYPEG. This method discretizes the state space to approximate solutions of the linear time-invariant systems. This paper extends the set of equations to non-linear ordinary differential equations (ODEs) by adding well known time-discrete methods. These can now be integrated in an extendable way, since HYPEG has been adapted to deal with time-discretization as part of this work. The results of the new implementation are validated on a battery model with linear ODEs and furthermore used to compute results for a heating model with non-linear ODEs.