Identification of time-varying systems by neural networks

摘要

We present a new identification algorithm for parameter estimation of time-varying linear discrete-time systems. The algorithm is used the neural networks to represent the time-varying parameters of the system. These parameters are estimated by optimizing the index which shows the error of system and model by the nonlinear optimization technique. Furthermore, the effectiveness of the proposed method is verified by simulation.