{"title":"基于无性繁殖优化的网络控制系统的最小延迟链路确定","authors":"A. Farasat, A. Amani, M. Menhaj","doi":"10.1109/CICA.2009.4982787","DOIUrl":null,"url":null,"abstract":"Networked control systems (NCS) have gained an increasing attention in recent years due to their flexibility and cost reduction. The two main problems affecting stability and performance of closed-loop NCS are packet delay and drop. The problem of delay is severe in large scale NCS where the sensor-controller-actuator are connected via a network with large number of switches and routers. In this paper, we propose a real time optimization algorithm, called Asexual Reproduction Optimization (ARO) which is inspired by asexual reproduction, to find the least delay link in the control loop. Simulation results reveal that the proposed algorithm remarkably outperforms the recently cited Genetic Algorithm (GA) in finding the minimum delay link.","PeriodicalId":383751,"journal":{"name":"2009 IEEE Symposium on Computational Intelligence in Control and Automation","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Minimum-delay link determination in networked control systems using Asexual Reproduction Optimization\",\"authors\":\"A. Farasat, A. Amani, M. Menhaj\",\"doi\":\"10.1109/CICA.2009.4982787\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Networked control systems (NCS) have gained an increasing attention in recent years due to their flexibility and cost reduction. The two main problems affecting stability and performance of closed-loop NCS are packet delay and drop. The problem of delay is severe in large scale NCS where the sensor-controller-actuator are connected via a network with large number of switches and routers. In this paper, we propose a real time optimization algorithm, called Asexual Reproduction Optimization (ARO) which is inspired by asexual reproduction, to find the least delay link in the control loop. Simulation results reveal that the proposed algorithm remarkably outperforms the recently cited Genetic Algorithm (GA) in finding the minimum delay link.\",\"PeriodicalId\":383751,\"journal\":{\"name\":\"2009 IEEE Symposium on Computational Intelligence in Control and Automation\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE Symposium on Computational Intelligence in Control and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CICA.2009.4982787\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE Symposium on Computational Intelligence in Control and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CICA.2009.4982787","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Minimum-delay link determination in networked control systems using Asexual Reproduction Optimization
Networked control systems (NCS) have gained an increasing attention in recent years due to their flexibility and cost reduction. The two main problems affecting stability and performance of closed-loop NCS are packet delay and drop. The problem of delay is severe in large scale NCS where the sensor-controller-actuator are connected via a network with large number of switches and routers. In this paper, we propose a real time optimization algorithm, called Asexual Reproduction Optimization (ARO) which is inspired by asexual reproduction, to find the least delay link in the control loop. Simulation results reveal that the proposed algorithm remarkably outperforms the recently cited Genetic Algorithm (GA) in finding the minimum delay link.