{"title":"Resilience test and evaluation of networked control systems for given disturbances","authors":"Wenting Ma, Ruiying Li, Chong Jin, Rui Kang","doi":"10.1109/ICRSE.2017.8030740","DOIUrl":null,"url":null,"abstract":"Resilience test and evaluation is an important technology to evaluate system resilience and verify whether the value of system resilience meets the designated requirements before the system is used. In this study, a resilience test and evaluation process is proposed for given disturbances. The system resilience is defined by the ratio of the integral of the normalized system performance within its maximum allowed recovery time after the disturbance to the integral of the performance in the normal state, and an approximate method is developed to assess the system resilience based on the discrete monitoring data. To illustrate the effectiveness of our proposed method, the resilience of a DC servo motor is evaluated based on the performance simulation on Simulink/TrueTime.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRSE.2017.8030740","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
Resilience test and evaluation is an important technology to evaluate system resilience and verify whether the value of system resilience meets the designated requirements before the system is used. In this study, a resilience test and evaluation process is proposed for given disturbances. The system resilience is defined by the ratio of the integral of the normalized system performance within its maximum allowed recovery time after the disturbance to the integral of the performance in the normal state, and an approximate method is developed to assess the system resilience based on the discrete monitoring data. To illustrate the effectiveness of our proposed method, the resilience of a DC servo motor is evaluated based on the performance simulation on Simulink/TrueTime.