Parameter Identification for Discrete-Time Dynamic Systems by Use of Neural Network And Set-Membership Approaches

摘要

The paper devoted to application of set-membership (ellipsoidal) and neural methods to solution of the parameter identification problem for discrete-time control systems. The comparative analysis of the two algorithms is performed by numerical simulation.