{"title":"微生物过程的多目标非线性模型预测控制","authors":"N. Sridhar, L. Sridhar","doi":"10.33140/acmmj.02.02.04","DOIUrl":null,"url":null,"abstract":"A rigorous multiobjective nonlinear model predictive control is performed on the microbiome dynamic model that takes into account competition, amensalism, parasitism, neutralism, commensalism and cooperation. The optimization language pyomo is used in conjunction with the state of the art global optimization solver BARON. It is demonstrated that when the species that produces the required product is favorable to the other species there is an initial decrease in the required product before an increase happens.","PeriodicalId":221473,"journal":{"name":"Archives of Clinical and Medical Microbiology","volume":"557 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multiobjective Nonlinear Model Predictive Control of the Microbial Process\",\"authors\":\"N. Sridhar, L. Sridhar\",\"doi\":\"10.33140/acmmj.02.02.04\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A rigorous multiobjective nonlinear model predictive control is performed on the microbiome dynamic model that takes into account competition, amensalism, parasitism, neutralism, commensalism and cooperation. The optimization language pyomo is used in conjunction with the state of the art global optimization solver BARON. It is demonstrated that when the species that produces the required product is favorable to the other species there is an initial decrease in the required product before an increase happens.\",\"PeriodicalId\":221473,\"journal\":{\"name\":\"Archives of Clinical and Medical Microbiology\",\"volume\":\"557 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Archives of Clinical and Medical Microbiology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33140/acmmj.02.02.04\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archives of Clinical and Medical Microbiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33140/acmmj.02.02.04","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multiobjective Nonlinear Model Predictive Control of the Microbial Process
A rigorous multiobjective nonlinear model predictive control is performed on the microbiome dynamic model that takes into account competition, amensalism, parasitism, neutralism, commensalism and cooperation. The optimization language pyomo is used in conjunction with the state of the art global optimization solver BARON. It is demonstrated that when the species that produces the required product is favorable to the other species there is an initial decrease in the required product before an increase happens.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
