Minimal attractor embedding dimension for discrete dynamic system based on state-space method

Alexander M. Krot; Helena B. Minervina

doi:10.1117/12.357182

27 July 1999 Minimal attractor embedding dimension for discrete dynamic system based on state-space method

Alexander M. Krot, Helena B. Minervina

Proceedings Volume 3720, Signal Processing, Sensor Fusion, and Target Recognition VIII; (1999) https://doi.org/10.1117/12.357182
Event: AeroSense '99, 1999, Orlando, FL, United States

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.

Citation Download Citation

Alexander M. Krot and Helena B. Minervina "Minimal attractor embedding dimension for discrete dynamic system based on state-space method", Proc. SPIE 3720, Signal Processing, Sensor Fusion, and Target Recognition VIII, (27 July 1999); https://doi.org/10.1117/12.357182

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