Parameter Identification of Linear Systems Using Hopfield Neural Networks
基于Hopfield神经网络的线性系统参数辨识

In this paper a novel parameter identification method for linear system is developed based on the optimization computing theory of Hopfield Neural Networks (HNN).The I/O difference equation is formulated and estimated using continuous HNN firstly.Then the transfer function matrix of the system is calculated.And finally the observable canonical form of the state space expression is constructed.Simulation results prove the validity of the proposed method.