A Global Approach to Parameter Estimation of Chaotic Dynamical Systems.

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.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1992
Accession Number
ADA259932

Entities

People

  • Athanassios G. Siapas

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Boundaries
  • Computations
  • Computers
  • Convergence
  • Differential Equations
  • Dynamics
  • Eigenvalues
  • Filtration
  • Geometric Forms
  • Geometry
  • Kalman Filters
  • Linear Systems
  • Mathematical Filters
  • Probability
  • Topology

Fields of Study

  • Physics

Readers

  • Control Systems Engineering.
  • Systems Analysis and Design