Abstract: The hybrid neural network dynamic hysteresis model, which consists of two dynamic neural networks in a cascade form,is proposed to approximate the hysteresis characteristics of piezoceramic actuator.The hybrid model consists of two RBF neural networks.The former is a dynamic model with the leading phase,the behavior of which is similar to the feaure of piezoceramic actuator,but differs from the feature of piezoceramic in the aspect of their phase and magnitudes.The latter is used to carry out the nonlinear transform of phase and magnitude for the approximation of output of piezoceramic actuator. Simulation and experiment on the piezoceramic actuator show that the proposed model to describe the behavior of piezoceramic actuator is effective.In comparison with PI model,the proposed model is of high precision.