{"title":"通过并行化减少格拉斯曼曼图谱上的参数插值模型阶次","authors":"Kang-Li Xu;Zhen Li;Peter Benner","doi":"10.1109/TCSII.2024.3460171","DOIUrl":null,"url":null,"abstract":"Based on Riemannian geometry of Grassmann manifolds and discrete Laguerre polynomials, we propose a parametric interpolation parallel MOR method for discrete-time parametric systems. First, a block discrete Fourier transform-based (BDFT) parallel strategy is presented to construct the local basis matrices, which achieves two level acceleration by parallelization. Further, using the retractions and vector transports on Grassmann manifolds, the basis matrix for a new parameter is obtained by interpolating the local bases on the tangent spaces at the different reference points. Finally, a numerical example is used to demonstrate the efficiency of our method.","PeriodicalId":13101,"journal":{"name":"IEEE Transactions on Circuits and Systems II: Express Briefs","volume":"72 1","pages":"198-202"},"PeriodicalIF":4.0000,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Parametric Interpolation Model Order Reduction on Grassmann Manifolds by Parallelization\",\"authors\":\"Kang-Li Xu;Zhen Li;Peter Benner\",\"doi\":\"10.1109/TCSII.2024.3460171\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on Riemannian geometry of Grassmann manifolds and discrete Laguerre polynomials, we propose a parametric interpolation parallel MOR method for discrete-time parametric systems. First, a block discrete Fourier transform-based (BDFT) parallel strategy is presented to construct the local basis matrices, which achieves two level acceleration by parallelization. Further, using the retractions and vector transports on Grassmann manifolds, the basis matrix for a new parameter is obtained by interpolating the local bases on the tangent spaces at the different reference points. Finally, a numerical example is used to demonstrate the efficiency of our method.\",\"PeriodicalId\":13101,\"journal\":{\"name\":\"IEEE Transactions on Circuits and Systems II: Express Briefs\",\"volume\":\"72 1\",\"pages\":\"198-202\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2024-09-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Circuits and Systems II: Express Briefs\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10680051/\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Circuits and Systems II: Express Briefs","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10680051/","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Parametric Interpolation Model Order Reduction on Grassmann Manifolds by Parallelization
Based on Riemannian geometry of Grassmann manifolds and discrete Laguerre polynomials, we propose a parametric interpolation parallel MOR method for discrete-time parametric systems. First, a block discrete Fourier transform-based (BDFT) parallel strategy is presented to construct the local basis matrices, which achieves two level acceleration by parallelization. Further, using the retractions and vector transports on Grassmann manifolds, the basis matrix for a new parameter is obtained by interpolating the local bases on the tangent spaces at the different reference points. Finally, a numerical example is used to demonstrate the efficiency of our method.
期刊介绍:
TCAS II publishes brief papers in the field specified by the theory, analysis, design, and practical implementations of circuits, and the application of circuit techniques to systems and to signal processing. Included is the whole spectrum from basic scientific theory to industrial applications. The field of interest covered includes:
Circuits: Analog, Digital and Mixed Signal Circuits and Systems
Nonlinear Circuits and Systems, Integrated Sensors, MEMS and Systems on Chip, Nanoscale Circuits and Systems, Optoelectronic
Circuits and Systems, Power Electronics and Systems
Software for Analog-and-Logic Circuits and Systems
Control aspects of Circuits and Systems.