{"title":"具有约束的线性平稳随机系统控制APM、PID与Matlab MPC","authors":"Enes Saletovic, Tadej Mateljan","doi":"10.2498/iti.2012.0397","DOIUrl":null,"url":null,"abstract":"Within the frame of this work, the problem of control of LSS (Linear Stationary Stochastic) SISO (Single Input Single Output) systems with active constraints at input and/or output has been researched. The new predictive control APM method [1] has been compared with concurrent control methods: PID and Matlab MPC, using Matlab software tool. Simulation results confirm APM method concurrency and some practical advantages over concurrent methods.","PeriodicalId":135105,"journal":{"name":"Proceedings of the ITI 2012 34th International Conference on Information Technology Interfaces","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Control of Linear Stationary Stochastic systems with constraints APM vs. PID vs. Matlab MPC\",\"authors\":\"Enes Saletovic, Tadej Mateljan\",\"doi\":\"10.2498/iti.2012.0397\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Within the frame of this work, the problem of control of LSS (Linear Stationary Stochastic) SISO (Single Input Single Output) systems with active constraints at input and/or output has been researched. The new predictive control APM method [1] has been compared with concurrent control methods: PID and Matlab MPC, using Matlab software tool. Simulation results confirm APM method concurrency and some practical advantages over concurrent methods.\",\"PeriodicalId\":135105,\"journal\":{\"name\":\"Proceedings of the ITI 2012 34th International Conference on Information Technology Interfaces\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the ITI 2012 34th International Conference on Information Technology Interfaces\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2498/iti.2012.0397\",\"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 the ITI 2012 34th International Conference on Information Technology Interfaces","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2498/iti.2012.0397","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Control of Linear Stationary Stochastic systems with constraints APM vs. PID vs. Matlab MPC
Within the frame of this work, the problem of control of LSS (Linear Stationary Stochastic) SISO (Single Input Single Output) systems with active constraints at input and/or output has been researched. The new predictive control APM method [1] has been compared with concurrent control methods: PID and Matlab MPC, using Matlab software tool. Simulation results confirm APM method concurrency and some practical advantages over concurrent methods.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
