{"title":"若干复合多代价模型及相关向量不等式","authors":"Savin Treanţă , Cristina-Mihaela Cebuc","doi":"10.1016/j.ifacsc.2025.100331","DOIUrl":null,"url":null,"abstract":"<div><div>This paper investigates a distinctive family of (weak) composite controlled variational inequality models of vector type, contextualized within the domain of vector control. We establish its intrinsic relationships with the composite multiple objective variational control problem, shedding light on the intricate dynamics of control systems. An exploration of the connections between a critical or (weak) efficient point in the composite vector optimization problem and a solution of the associated composite vector controlled variational-like inequality is undertaken, guided by the assumption of composite (strictly) invariant convexity and/or pseudo-invariant convexity of the involved functionals. By using the KKM lemma, a result on the existence of solutions for the composite controlled variational inequality problem is stated. Additionally, a gap functional is defined specifically for the composite controlled variational inequality problem, providing a valuable tool for understanding the nuances of control scenarios. The significance of our findings is exemplified through illustrative examples, offering concrete insights into applying the derived results in vector control scenarios.</div></div>","PeriodicalId":29926,"journal":{"name":"IFAC Journal of Systems and Control","volume":"33 ","pages":"Article 100331"},"PeriodicalIF":1.8000,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On some composite multiple-cost models and associated vector inequalities\",\"authors\":\"Savin Treanţă , Cristina-Mihaela Cebuc\",\"doi\":\"10.1016/j.ifacsc.2025.100331\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper investigates a distinctive family of (weak) composite controlled variational inequality models of vector type, contextualized within the domain of vector control. We establish its intrinsic relationships with the composite multiple objective variational control problem, shedding light on the intricate dynamics of control systems. An exploration of the connections between a critical or (weak) efficient point in the composite vector optimization problem and a solution of the associated composite vector controlled variational-like inequality is undertaken, guided by the assumption of composite (strictly) invariant convexity and/or pseudo-invariant convexity of the involved functionals. By using the KKM lemma, a result on the existence of solutions for the composite controlled variational inequality problem is stated. Additionally, a gap functional is defined specifically for the composite controlled variational inequality problem, providing a valuable tool for understanding the nuances of control scenarios. The significance of our findings is exemplified through illustrative examples, offering concrete insights into applying the derived results in vector control scenarios.</div></div>\",\"PeriodicalId\":29926,\"journal\":{\"name\":\"IFAC Journal of Systems and Control\",\"volume\":\"33 \",\"pages\":\"Article 100331\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2025-08-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IFAC Journal of Systems and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2468601825000379\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IFAC Journal of Systems and Control","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2468601825000379","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
On some composite multiple-cost models and associated vector inequalities
This paper investigates a distinctive family of (weak) composite controlled variational inequality models of vector type, contextualized within the domain of vector control. We establish its intrinsic relationships with the composite multiple objective variational control problem, shedding light on the intricate dynamics of control systems. An exploration of the connections between a critical or (weak) efficient point in the composite vector optimization problem and a solution of the associated composite vector controlled variational-like inequality is undertaken, guided by the assumption of composite (strictly) invariant convexity and/or pseudo-invariant convexity of the involved functionals. By using the KKM lemma, a result on the existence of solutions for the composite controlled variational inequality problem is stated. Additionally, a gap functional is defined specifically for the composite controlled variational inequality problem, providing a valuable tool for understanding the nuances of control scenarios. The significance of our findings is exemplified through illustrative examples, offering concrete insights into applying the derived results in vector control scenarios.