DocumentCode :
353364
Title :
The d parameter to characterise chaotic dynamics
Author :
Bonasera, A. ; Bucolo, M. ; Fortuna, L. ; Rizzo, Alessandro
Author_Institution :
Lab. Nazionale del Sud, Ist. Nazionale di Fisica Nucl., Catania, Italy
Volume :
5
fYear :
2000
fDate :
2000
Firstpage :
565
Abstract :
In this paper, an asymptotic measure is introduced in order to characterise chaotic dynamics. This is the asymptotic distance between trajectories d, which can actually help either as a complementary measure to Lyapunov exponents, or as an alternative parameter characterising chaos when Lyapunov exponents are either very difficult, or impossible to work out. Some analytical relationships between the leading Lyapunov exponent and the values of d both for discrete maps and continuous systems are reported, together with experimental comparisons drawn from the simulation of Chua´s circuit in different operational conditions
Keywords :
Chua´s circuit; Lyapunov methods; chaos; Lyapunov exponents; asymptotic measure; chaotic dynamics characterisation; d parameter; Analytical models; Autocorrelation; Chaos; Circuit simulation; Continuous time systems; Differential equations; Extraterrestrial measurements; Inspection; Laboratories; Nuclear measurements;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
Conference_Location :
Como
ISSN :
1098-7576
Print_ISBN :
0-7695-0619-4
Type :
conf
DOI :
10.1109/IJCNN.2000.861529
Filename :
861529
Link To Document :
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