基于单神经元自适应PSD算法用于混沌镇定控制

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

为了镇定混沌系统的不稳定周期轨道，提出了一种基于单神经元自适应ＰＳＤ算法的状态延迟反馈法用于混沌的镇定控制．仿真结果表明，该算法不仅能够自适应地完成控制参数的整定过程，而且具有适用范围广、镇定时间短、抗干扰能力强等优点．

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.