Adaptive Chaotic Controlling Method of a Chaotic Neural Network Model

It has been found that chaotic dynamics may exist in real brain neurons and play important roles in signal proceeding. But it is hard to set suitable parameters of system to make it be chaotic in practice. In this paper, a general adaptive controlling method of nonlinear systems with chaotic dynamics is studied. According analysis Lyapunov exponent, the effectiveness of our scheme is illustrated by a series of computer simulations.