DocumentCode
321455
Title
Identification effort for local maps in a chaotic system
Author
Lim, Eek ; Mareels, IMY
Author_Institution
Dept. of Electr. & Electron. Eng., Melbourne Univ., Parkville, Vic., Australia
Volume
3
fYear
1997
fDate
10-12 Dec 1997
Firstpage
3004
Abstract
We investigate the identification effort required to obtain a local map in a chaotic attractor. The identification data length is estimated in terms of the available excitation, noise levels perturbing measurements and state transition, and the principle components describing the chaotic motion of the map in question
Keywords
Markov processes; autoregressive moving average processes; chaos; continuous time systems; identification; nonlinear dynamical systems; probability; ARMA model; Markov chain; chaos; chaotic attractor; chaotic system; continuous time systems; identification; local map; noise levels; nonlinear dynamical systems; principle components; probability; state transition; Chaos; Extraterrestrial measurements; Length measurement; Motion control; Motion estimation; Motion measurement; Noise level; Noise measurement; State estimation; System identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location
San Diego, CA
ISSN
0191-2216
Print_ISBN
0-7803-4187-2
Type
conf
DOI
10.1109/CDC.1997.657909
Filename
657909
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