Memory Neuron Network Adaptive Control of Dynamical System

摘要

In this paper, an adaptive control method for non-linear dynamical system using Memory Neuron Network(MNN) is presented. Only one MNN is used as the controller. The weights of the MNN are updated on-line according to the output error of the plant. The adaptive control algorithm is introduced. The simulation results show that this method is quite robust and effective to treat with some non-linear dynamcial objects.