Design of anti disturbance controller based on immunity single neuron

This paper presents an improved nonlinear state error feedback control algorithm using immunity single neuron, aiming at the large amount adjustable parameters and tuning hard of anti disturbance controller. Depending on the self study ability of nerve network, we use the immunity single neuron to construct adaptive parameters to implement adaptively adjustment according to the change of system errors, hence to accomplish parameters online self tuned. The improved anti disturbance´s adjustable parameter decreases obviously, and at the same time has much better adaptability and robustness.