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A Global Approach to Parameter Estimation of Chaotic Dynamical Systems

Author(s)
Siapas, Athanassios G.
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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.
Date issued
1992-12-01
URI
http://hdl.handle.net/1721.1/5953
Other identifiers
AIM-1402
Series/Report no.
AIM-1402
Keywords
parameter estimation, dynamical systems

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  • AI Memos (1959 - 2004)

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