Quantitative statistical analysis with physics-based surrogate modeling for wave chaotic systems

Shen Lin, Zhen Peng, Thomas Antonsen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publication2017 IEEE Antennas and Propagation Society International Symposium, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages943-944
Number of pages2
ISBN (Electronic)9781538632840
DOIs
StatePublished - Oct 18 2017
Externally publishedYes
Event2017 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2017 - San Diego, United States
Duration: Jul 9 2017Jul 14 2017

Publication series

Name2017 IEEE Antennas and Propagation Society International Symposium, Proceedings
Volume2017-January

Other

Other2017 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2017
CountryUnited States
CitySan Diego
Period7/9/177/14/17

ASJC Scopus subject areas

  • Radiation
  • Computer Networks and Communications
  • Instrumentation

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  • Cite this

    Lin, S., Peng, Z., & Antonsen, T. (2017). Quantitative statistical analysis with physics-based surrogate modeling for wave chaotic systems. In 2017 IEEE Antennas and Propagation Society International Symposium, Proceedings (pp. 943-944). (2017 IEEE Antennas and Propagation Society International Symposium, Proceedings; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APUSNCURSINRSM.2017.8072514