Stabilization of Chaos by Self-adaptive PSD State-delayed Feedback Algorithm Based on Single Neuron

In order to stabilize the unstable orbits of chaotic systems, a new intelligent control method, which is combined the state-delayed feedback PID algorithm with the adaptive PSD algorithm based on single neuron, is presented. When this method is used for the stabilization of chaos, the parameters of the control system is governed adaptively by way of the self-learning function of the neuron. The simulation results demonstrate that this method has many strongpoints for its wide range of application, short transition time of stabilization and strong anti-inference ability.