{"title":"模块化鲁棒模型预测控制","authors":"F. T. Attarwala","doi":"10.1109/MED.2009.5164620","DOIUrl":null,"url":null,"abstract":"This paper presents a method of combining model predictive control (MPC) with explicitly defined stability criteria for improved robust performance. The stability criteria is fundamental in its basis and can be applied universally to a process of any size. The stability criteria is independent variables based and can be used with linear or non-linear process; when used with linear process it imparts a quasi-linear optimal closed loop behavior. The stability criteria determines speed of optimization. A braking action can be included in conjunction with the stability criteria to permit a complete cycle control involving startup, normal operation and shutdown. The stability criteria supports both hierarchical and distributed MPC implementation consistently; that allows for the formation of a hierarchical and distributed MPC system within a process while permitting it to be connected to neighboring processes as part of a unified control system for an entire production chain involving a network of modular robust MPCs. Intrinsically, the stability criteria makes a MPC both robust and modular.","PeriodicalId":422386,"journal":{"name":"2009 17th Mediterranean Conference on Control and Automation","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modular robust model predictive control\",\"authors\":\"F. T. Attarwala\",\"doi\":\"10.1109/MED.2009.5164620\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a method of combining model predictive control (MPC) with explicitly defined stability criteria for improved robust performance. The stability criteria is fundamental in its basis and can be applied universally to a process of any size. The stability criteria is independent variables based and can be used with linear or non-linear process; when used with linear process it imparts a quasi-linear optimal closed loop behavior. The stability criteria determines speed of optimization. A braking action can be included in conjunction with the stability criteria to permit a complete cycle control involving startup, normal operation and shutdown. The stability criteria supports both hierarchical and distributed MPC implementation consistently; that allows for the formation of a hierarchical and distributed MPC system within a process while permitting it to be connected to neighboring processes as part of a unified control system for an entire production chain involving a network of modular robust MPCs. Intrinsically, the stability criteria makes a MPC both robust and modular.\",\"PeriodicalId\":422386,\"journal\":{\"name\":\"2009 17th Mediterranean Conference on Control and Automation\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 17th Mediterranean Conference on Control and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MED.2009.5164620\",\"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 17th Mediterranean Conference on Control and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MED.2009.5164620","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents a method of combining model predictive control (MPC) with explicitly defined stability criteria for improved robust performance. The stability criteria is fundamental in its basis and can be applied universally to a process of any size. The stability criteria is independent variables based and can be used with linear or non-linear process; when used with linear process it imparts a quasi-linear optimal closed loop behavior. The stability criteria determines speed of optimization. A braking action can be included in conjunction with the stability criteria to permit a complete cycle control involving startup, normal operation and shutdown. The stability criteria supports both hierarchical and distributed MPC implementation consistently; that allows for the formation of a hierarchical and distributed MPC system within a process while permitting it to be connected to neighboring processes as part of a unified control system for an entire production chain involving a network of modular robust MPCs. Intrinsically, the stability criteria makes a MPC both robust and modular.