作者: M. DI MARCO , M. FORTI , A. TESI
DOI: 10.1142/S0218127402005133
关键词: Interconnection matrix 、 Complex dynamics 、 Robustness (computer science) 、 Control theory 、 Topology 、 Cascade 、 Attractor 、 Cellular neural network 、 Computer science 、 Period-doubling bifurcation
摘要: The paper introduces a class of third-order nonsymmetric Cellular Neural Networks (CNNs), and shows through computer simulations that they undergo cascade period doubling bifurcations which leads to the birth large-size complex attractor. A major point is these dynamics happen in small neighborhood particular CNN with symmetric interconnection matrix.