Bifurcation and chaos in noninteger order cellular neural networks

In this paper a new class of Cellular Neural Networks (CNNs) is introduced. The peculiarity of the new CNN model consists in replacing the traditional first order cell with a noninteger order one. The introduction of fraction al order cells, with a suitable choice of the coupling parameters, leads to the onset of chaos in a two-cell system of a total order of less than thre e. A theoretical approach, based on the interaction between equilibrium poi nts and limit cycles, is used to discover chaotic motions in fractional CNN s.