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Proceedings Paper

Minimal attractor embedding dimension for discrete dynamic system based on state-space method
Author(s): Alexander M. Krot; Helena B. Minervina
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Paper Abstract

The theoretic substantiation of a locally topological method for defining a minimum attractor embedding dimension on the basis of state-space method of a dynamic system description is supposed. The numerical modeling of various types of discrete dynamic systems on the computer is carried out with the purpose of verification of theoretical principles, which are the underlying ones for a minimum dimension computation method of such system attractor embedding.

Paper Details

Date Published: 27 July 1999
PDF: 7 pages
Proc. SPIE 3720, Signal Processing, Sensor Fusion, and Target Recognition VIII, (27 July 1999); doi: 10.1117/12.357182
Show Author Affiliations
Alexander M. Krot, Institute of Engineering Cybernetics (Belarus)
Helena B. Minervina, Institute of Engineering Cybernetics (Belarus)

Published in SPIE Proceedings Vol. 3720:
Signal Processing, Sensor Fusion, and Target Recognition VIII
Ivan Kadar, Editor(s)

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