Identification for Bouc-Wen hysteresis system with hopfield neural network

A new Hopfield neural Network (HNN) identification method is proposed for hysteresis nonlinear systems to estimate the coefficients of the systems. Firstly, a Bouc-Wen model is applied to describe the hysteresis nonlinearity. Then, a nonlinear system model is employed with the unknown parameters of the state-space equation and a new HNN is designed to identify the unknown parameters of the hysteresis nonlinear system. Finally, The detail of identification with HNN is demonstrated and Simulation results verify effectiveness of the proposed identification method.