{"title":"结构控制FMS性能评价的多项式复杂度工具","authors":"S. Reveliotis, P. Ferreira","doi":"10.1109/ROBOT.1997.614309","DOIUrl":null,"url":null,"abstract":"The problem of evaluating the capacity of the structurally controlled FMS has been raised previously by us (1996). In that paper, an analytical framework for the problem, and a methodology able to provide accurate performance estimates were developed, but it was also observed that the computational complexity of the approach rendered it inapplicable to most practical situations. Here, we propose an approximating scheme for the performance evaluation of the structurally controlled FMS, which presents polynomial computational complexity, and therefore, is applicable to real-life FMSs. Initial experimentation with the approach indicates that it holds considerable promise for effective evaluation of the production capacity of these systems.","PeriodicalId":225473,"journal":{"name":"Proceedings of International Conference on Robotics and Automation","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A polynomial-complexity tool for evaluating the performance of structurally controlled FMS\",\"authors\":\"S. Reveliotis, P. Ferreira\",\"doi\":\"10.1109/ROBOT.1997.614309\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The problem of evaluating the capacity of the structurally controlled FMS has been raised previously by us (1996). In that paper, an analytical framework for the problem, and a methodology able to provide accurate performance estimates were developed, but it was also observed that the computational complexity of the approach rendered it inapplicable to most practical situations. Here, we propose an approximating scheme for the performance evaluation of the structurally controlled FMS, which presents polynomial computational complexity, and therefore, is applicable to real-life FMSs. Initial experimentation with the approach indicates that it holds considerable promise for effective evaluation of the production capacity of these systems.\",\"PeriodicalId\":225473,\"journal\":{\"name\":\"Proceedings of International Conference on Robotics and Automation\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-04-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of International Conference on Robotics and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ROBOT.1997.614309\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of International Conference on Robotics and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROBOT.1997.614309","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A polynomial-complexity tool for evaluating the performance of structurally controlled FMS
The problem of evaluating the capacity of the structurally controlled FMS has been raised previously by us (1996). In that paper, an analytical framework for the problem, and a methodology able to provide accurate performance estimates were developed, but it was also observed that the computational complexity of the approach rendered it inapplicable to most practical situations. Here, we propose an approximating scheme for the performance evaluation of the structurally controlled FMS, which presents polynomial computational complexity, and therefore, is applicable to real-life FMSs. Initial experimentation with the approach indicates that it holds considerable promise for effective evaluation of the production capacity of these systems.