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Some dynamic phenomena in delayed cellular neural networks
Author(s) -
Civalleri Pier Paolo,
Gilli Marco
Publication year - 1994
Publication title -
international journal of circuit theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.364
H-Index - 52
eISSN - 1097-007X
pISSN - 0098-9886
DOI - 10.1002/cta.4490220202
Subject(s) - cellular neural network , attractor , eigenvalues and eigenvectors , chaotic , simple (philosophy) , computer science , artificial neural network , variety (cybernetics) , biological system , topology (electrical circuits) , mathematics , control theory (sociology) , physics , artificial intelligence , mathematical analysis , biology , combinatorics , philosophy , control (management) , epistemology , quantum mechanics
In this paper we study the dynamic behaviour of delayed cellular neural networks (DCNNs). By means of a rigorous eigenvalue and eigenvector analysis and by numerical simulations we show that simple DCNNs composed of only two cells can exhibit a large variety of dynamic phenomena: stable and unstable closed orbits and chaotic attractors.