Uncertainty Assessment of Stochastic EM Problems via an Adaptive Anisotropic Polynomial-Chaos Technique

作     者：Salis, Christos I. Kantartzis, Nikolaos V. Zygiridis, Theodoros T. 

作者机构：Department of Electrical and Computer Engineering University of Western Macedonia Kozani Greece Department of Electrical and Computer Engineering Aristotle Univ. of Thessaloniki Thessaloniki Greece 

出 版 物：《Progress In Electromagnetics Research B》 (Prog. Electromagn. Res. B)

年 卷 期：2022年第97卷

页      面：55-71页

核心收录：

学科分类：0711[理学-系统科学] 080805[工学-电工理论与新技术] 080904[工学-电磁场与微波技术] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0714[理学-统计学（可授理学、经济学学位）] 0811[工学-控制科学与工程] 0701[理学-数学] 0702[理学-物理学] 

主　　题：Stochastic systems 

摘      要：A novel polynomial-chaos (PC) technique is implemented based on anisotropic index sets. The proposed scheme takes advantage of the effect of each random variable on the output parameter of interest and adaptively constructs the PC expansion. Particularly, the algorithm starts by generating bases via low and high reliability heuristics and builds a PC representation, until an error criterion is satisfied or until the maximum desired polynomial order is reached. Our method is tested on a variety of uncertainty problems, where the statistical moments of the outputs of interest are estimated. Numerical results prove the efficiency of the proposed approach, since accurate outcomes are obtained in lower computational times than other techniques. © Progress In Electromagnetics Research B