{"title":"先进的复杂动态过程控制","authors":"J. Cigánek, S. Kozák, F. Noge, F. Dietze","doi":"10.1109/PC.2015.7169948","DOIUrl":null,"url":null,"abstract":"In recent years, new control approaches have emerged to replace or augment conventional control engineering methods. The paper presents design, verification and comparison of two advanced methods (IMC, MPC) applied in the control of dynamic processes with complex dynamics. Development of advanced control methods based on robustness, optimality and prediction is an important and challenging task. The presented methods guarantee robust stability and high performance of manipulator control.","PeriodicalId":173529,"journal":{"name":"2015 20th International Conference on Process Control (PC)","volume":"14 Sect Epidemiol State Med 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Advanced complex dynamics process control\",\"authors\":\"J. Cigánek, S. Kozák, F. Noge, F. Dietze\",\"doi\":\"10.1109/PC.2015.7169948\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years, new control approaches have emerged to replace or augment conventional control engineering methods. The paper presents design, verification and comparison of two advanced methods (IMC, MPC) applied in the control of dynamic processes with complex dynamics. Development of advanced control methods based on robustness, optimality and prediction is an important and challenging task. The presented methods guarantee robust stability and high performance of manipulator control.\",\"PeriodicalId\":173529,\"journal\":{\"name\":\"2015 20th International Conference on Process Control (PC)\",\"volume\":\"14 Sect Epidemiol State Med 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 20th International Conference on Process Control (PC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PC.2015.7169948\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 20th International Conference on Process Control (PC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PC.2015.7169948","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In recent years, new control approaches have emerged to replace or augment conventional control engineering methods. The paper presents design, verification and comparison of two advanced methods (IMC, MPC) applied in the control of dynamic processes with complex dynamics. Development of advanced control methods based on robustness, optimality and prediction is an important and challenging task. The presented methods guarantee robust stability and high performance of manipulator control.
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