{"title":"推车倒立摆系统的显式模型预测控制","authors":"Mahmoud M. Elnaggar, Ahmed Lasheen","doi":"10.1109/ICOSC.2018.8587820","DOIUrl":null,"url":null,"abstract":"This paper discusses the implementation of the explicit model predictive control for the inverted pendulum system. The proposed controller has three merits. First, it is able to produce the optimal control action with constraints satisfaction. Second, it reduces the online computational time by obtaining the offline solution of the optimization problem. Third, it ensures the overall system stability. The simulation results show that the proposed controller achieves an excellent performance.","PeriodicalId":153985,"journal":{"name":"2018 7th International Conference on Systems and Control (ICSC)","volume":"63 4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Explicit Model Predictive Control for a Cart Inverted Pendulum System\",\"authors\":\"Mahmoud M. Elnaggar, Ahmed Lasheen\",\"doi\":\"10.1109/ICOSC.2018.8587820\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper discusses the implementation of the explicit model predictive control for the inverted pendulum system. The proposed controller has three merits. First, it is able to produce the optimal control action with constraints satisfaction. Second, it reduces the online computational time by obtaining the offline solution of the optimization problem. Third, it ensures the overall system stability. The simulation results show that the proposed controller achieves an excellent performance.\",\"PeriodicalId\":153985,\"journal\":{\"name\":\"2018 7th International Conference on Systems and Control (ICSC)\",\"volume\":\"63 4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 7th International Conference on Systems and Control (ICSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOSC.2018.8587820\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 7th International Conference on Systems and Control (ICSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOSC.2018.8587820","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Explicit Model Predictive Control for a Cart Inverted Pendulum System
This paper discusses the implementation of the explicit model predictive control for the inverted pendulum system. The proposed controller has three merits. First, it is able to produce the optimal control action with constraints satisfaction. Second, it reduces the online computational time by obtaining the offline solution of the optimization problem. Third, it ensures the overall system stability. The simulation results show that the proposed controller achieves an excellent performance.