Accession Number : ADA259932


Title :   A Global Approach to Parameter Estimation of Chaotic Dynamical Systems.


Descriptive Note : Memorandum rept.,


Corporate Author : MASSACHUSETTS INST OF TECH CAMBRIDGE ARTIFICIAL INTELLIGENCE LAB


Personal Author(s) : Siapas, Athanassios G


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a259932.pdf


Report Date : Dec 1992


Pagination or Media Count : 32


Abstract : We present a novel approach to parameter estimation of systems with complicated dynamics, as well as evidence for the existence of a universal power law that enables us to quantify the dependence of global geometry on small changes in the parameters of the system. This power law gives rise to what seems to be a new dynamical system invariant.


Descriptors :   *PARAMETRIC ANALYSIS , *DYNAMICS , *SYSTEMS APPROACH , *CHAOS , GLOBAL , PARAMETERS , GEOMETRY , ARTIFICIAL INTELLIGENCE


Subject Categories : Operations Research
      Cybernetics


Distribution Statement : APPROVED FOR PUBLIC RELEASE