Chaos control based on pulse-coupled neural networks
Lianfeng Li · Journal of Computer Applications · 2009
According to that the Pulse Coupling Neural Network (PCNN) can display chaotic phenomenon under certain condition,the method of configuring Lyapunov exponents of chaotic PCNN system to set the system converged to a fixed point was studied. In this method,Lyapunov exponents were configured to be negative,according to the expectations of a specific point,the corresponding control sequences were produced,which altered the chaotic system so as to achieve the goal of stable control. Simulation results demonstrate the effectiveness of the proposed method,and the chaotic PCNN systems can be controlled from chaotic state to stable expectation.