{"title":"Optimal Control of Volterra Difference Equations of the First Kind","authors":"M. Alharthi, Tim Hughes, Markus Mueller","doi":"10.1109/Control55989.2022.9781441","DOIUrl":null,"url":null,"abstract":"We consider optimal control for Volterra Difference Equations of the form\\begin{equation*}x(n + 1) = \\sum\\limits_{i = 0}^n B (i)x(n - i) + Cu(n),\\quad n \\in {\\mathbb{Z}^ + }.\\tag{1}\\end{equation*}We show that the optimal control problem can be solved via a Riccati equation or alternatively, and computationally less involved, by solving a linear equation. We consider an application from epidemiology where the optimal control problem admits an optimal solution using the theoretical result. However, the optimal control does not necessarily satisfy constraints of the system?s biology, i.e. non-negativity of the state.","PeriodicalId":101892,"journal":{"name":"2022 UKACC 13th International Conference on Control (CONTROL)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 UKACC 13th International Conference on Control (CONTROL)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/Control55989.2022.9781441","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We consider optimal control for Volterra Difference Equations of the form\begin{equation*}x(n + 1) = \sum\limits_{i = 0}^n B (i)x(n - i) + Cu(n),\quad n \in {\mathbb{Z}^ + }.\tag{1}\end{equation*}We show that the optimal control problem can be solved via a Riccati equation or alternatively, and computationally less involved, by solving a linear equation. We consider an application from epidemiology where the optimal control problem admits an optimal solution using the theoretical result. However, the optimal control does not necessarily satisfy constraints of the system?s biology, i.e. non-negativity of the state.