Tracking Control of the Neural Network Chaotic System
Xiaoming Chen · Science Technology and Engineering · 2008
Based on Lyapunov stability theory,a controller for controlling the neural network chaotic system is investigated,to track any input signals.With Lyapunov function and lemma the controller is proved effective.Through simulating on the sine signal and Lorenz chaos drive system,the results of simulation are in consistent with the theory.