{"title":"非线性模型预测控制的一种连续时间公式","authors":"M. Soroush, C. Kravaris","doi":"10.23919/ACC.1992.4792371","DOIUrl":null,"url":null,"abstract":"In this paper, a general continuous-time nonlinear formulation of model predictive control is proposed. The control law calculates the manipulated input that minimizes a quadratic performance index in the presence of input constraints and process dead-time. Connections between the proposed approach and existing controllers in the differential geometric literature are established. The theory is illustrated by a CSTR example.","PeriodicalId":297258,"journal":{"name":"1992 American Control Conference","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"61","resultStr":"{\"title\":\"A Continuous-Time Formulation of Nonlinear Model Predictive Control\",\"authors\":\"M. Soroush, C. Kravaris\",\"doi\":\"10.23919/ACC.1992.4792371\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a general continuous-time nonlinear formulation of model predictive control is proposed. The control law calculates the manipulated input that minimizes a quadratic performance index in the presence of input constraints and process dead-time. Connections between the proposed approach and existing controllers in the differential geometric literature are established. The theory is illustrated by a CSTR example.\",\"PeriodicalId\":297258,\"journal\":{\"name\":\"1992 American Control Conference\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"61\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1992 American Control Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ACC.1992.4792371\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1992 American Control Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ACC.1992.4792371","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Continuous-Time Formulation of Nonlinear Model Predictive Control
In this paper, a general continuous-time nonlinear formulation of model predictive control is proposed. The control law calculates the manipulated input that minimizes a quadratic performance index in the presence of input constraints and process dead-time. Connections between the proposed approach and existing controllers in the differential geometric literature are established. The theory is illustrated by a CSTR example.
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