Quantitative Statistical Analysis with Physics-based Surrogate Modeling for Wave Chaotic Systems

被引：0

作者：

Lin, Shen ^{[1
]}

Peng, Zhen ^{[1
]}

Antonsen, Thomas ^{[2
]}

机构：

[1] Univ New Mexico, Albuquerque, NM 87131 USA

[2] Univ Maryland, College Pk, MD 20740 USA

来源：

2017 IEEE INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION & USNC/URSI NATIONAL RADIO SCIENCE MEETING | 2017年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper present a hybrid deterministic and stochastic formulation for the quantitative statistical analysis of complex wave-chaotic systems. The work seamlessly integrates the universal statistical properties of the systems and the site-specific features within a comprehensive statistical analysis framework. A physics-based surrogate modeling capability is established, which generates the statistical response in nearly real time while retaining the underlying first-principles analysis. The work is validated through representative experiments.

引用

页码：943 / 944

页数：2

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