{"title":"有限边界电阻网络的拓扑重构","authors":"S. Biradar, D.U Patil","doi":"10.1109/ICC56513.2022.10093371","DOIUrl":null,"url":null,"abstract":"We consider the problem of reconstructing all possible topologies of the circular planar passive-resistive network with only $1\\Omega$ resistances, housed inside a black box, with limited boundary measurements. The reconstruction problem is an inverse problem and, in general, has no unique solution. The limitedly available boundary measurements are used to construct a partially known resistance distance matrix. The partially known resistance distance matrix is then related to the unknown Laplacian matrix, resulting in many nonlinear multivariate polynomials. A method is proposed to reconstruct the network topology and edge resistor values simultaneously using the Gröbner basis. Numerical simulation establishes the effectiveness of the proposed strategy.","PeriodicalId":101654,"journal":{"name":"2022 Eighth Indian Control Conference (ICC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Topology Reconstruction of a Resistive Network with Limited Boundary Measurements\",\"authors\":\"S. Biradar, D.U Patil\",\"doi\":\"10.1109/ICC56513.2022.10093371\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We consider the problem of reconstructing all possible topologies of the circular planar passive-resistive network with only $1\\\\Omega$ resistances, housed inside a black box, with limited boundary measurements. The reconstruction problem is an inverse problem and, in general, has no unique solution. The limitedly available boundary measurements are used to construct a partially known resistance distance matrix. The partially known resistance distance matrix is then related to the unknown Laplacian matrix, resulting in many nonlinear multivariate polynomials. A method is proposed to reconstruct the network topology and edge resistor values simultaneously using the Gröbner basis. Numerical simulation establishes the effectiveness of the proposed strategy.\",\"PeriodicalId\":101654,\"journal\":{\"name\":\"2022 Eighth Indian Control Conference (ICC)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 Eighth Indian Control Conference (ICC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICC56513.2022.10093371\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Eighth Indian Control Conference (ICC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICC56513.2022.10093371","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Topology Reconstruction of a Resistive Network with Limited Boundary Measurements
We consider the problem of reconstructing all possible topologies of the circular planar passive-resistive network with only $1\Omega$ resistances, housed inside a black box, with limited boundary measurements. The reconstruction problem is an inverse problem and, in general, has no unique solution. The limitedly available boundary measurements are used to construct a partially known resistance distance matrix. The partially known resistance distance matrix is then related to the unknown Laplacian matrix, resulting in many nonlinear multivariate polynomials. A method is proposed to reconstruct the network topology and edge resistor values simultaneously using the Gröbner basis. Numerical simulation establishes the effectiveness of the proposed strategy.