INTERNATIONALJOURNAL of CHAOS THEORY and APPLICATIONS Vol. 2, Issue # 1, 1997
INTERNATIONAL JOURNAL OF CHAOS THEORY AND APPLICATIONS Vol. 2, Nr. 1 (1997)
EditorialTutorial paper
Harold SzuAbstract not available
Finite time Chaos Synchronization in Bijective Triangular Form SystemsRegular paper
A. Leuciuc and V. Grigoras
Technical University of Iasi, Faculty of Electronics, Copou 11, Iasi 6600, Romania
Abstract. The authors introduce a novel state space approach for selecting the chaotic master circuit and designing the synchronizing slave one, for secure communication based on finite time chaos synchronization. The proposed method is similar to the inverse system approach. It achieves instantaneous synchronization in the analogue version, and it synchronizes in a finite number of clock periods in the discrete case. The presented theoretical and simulation results show that the analogue version of the proposed communication system suffer from reduced noise immunity and parameter sensitivity. This makes it difficult to be used for long distance noisy channels, although some adaptive methods, cited in the literature, could improve its performance to the necessary level for practical use. The discrete time version is noise immune and robust, making it an attractive alternative for high speed discrete channels.
Keywords: chaos synchronization, analogue chaotic circuits, discrete-time chaotic systems, triangular form systems
Chaotic Behavior in Fuzzy Logic SystemsTutorial paper
Horia-Nicolai Teodorescu, Adrian Brezulianu
Technical University of Iasi, Faculty of Electronics, Copou 11, Iasi 6600, RomaniaVarious types of recurrent fuzzy systems and networks built with such fuzzy systems are analyzed.
The way to model complex processes with networks of recurrent fuzzy systems, and the nonlinear
dynamics in such systems are presented. The phenomena of synchronization, clustering, self-organization
and stabilization, produced in interconnected networks of fuzzy systems, are exemplified.
The complexity of the dynamic processes is analyzed.Keywords: chaos, recurrent fuzzy systems, fuzzy system networks, clustering
Simulation Results on the Rate of Success in Chaotic Search of Patterns in Neural NetworksRegular paper
Toshinori DEGUCHI and Naohiro ISHII
Dept. of Electrical Engineering, Gifu National College of Technology, Sinsei, Motosu, Gifu Prefecture, Japan
Dept. of Intelligence & Computer Science, Nagoya Institute of Technology, Gokiso, Showa-ku, Nagoya, JapanAbstract. Using the chaotic neural network, chaotic search of patterns is carried out.
However, chaotic search does not work well in general patterns.
In this paper, we discuss methods of generating patterns for the chaotic search
and investigate the rate of success by simulations.Keywords: neural network, chaotic search, presynaptic inhibition
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