Research on adaptive inverse control for piezoceramic based on SDRNN hysteresis inverse model

With a similar diagonal recurrent neural networks hysteresis model describing dynamic hysteresis behavior for piezoceramic, an adaptive inverse control, in which inverse model for piezoceramic is obtained by the feedback error learning method, is proposed. In modeling process, Jacobian information of piezoceramic is not be used so that modeling for piezoceramic is needless and leaning speed is enhanced. In the control, the program is designed by C-MEX S functions. Results of simulations show that the proposed control method for piezoceramic is effective.