On stochastic analysis approaches for comparing complex systems

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

Abstract

We compare two probabilistic approaches that have been proposed for the study and comparison of data obtained from experiment or simulations of a dynamical systems model. Both the approaches aim to carry out spectral analysis using a time-series data that is generated by a dynamical system. The first approach is based on constructing the so-called harmonic averages from the time-series data [1] and the second is an approach based on construction of a Markov chain from the data [2]. Results of the comparison using time-series data from a combustion model is provided.

Original languageEnglish (US)
Title of host publicationProceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05
Pages8082-8087
Number of pages6
Volume2005
DOIs
StatePublished - 2005
Event44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05 - Seville, Spain
Duration: Dec 12 2005Dec 15 2005

Other

Other44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05
CountrySpain
CitySeville
Period12/12/0512/15/05

ASJC Scopus subject areas

  • Engineering(all)

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