Two Identification Methods for Dual-Rate Sampled-Data Nonlinear Output-Error Systems

Abstract EN

This paper presents two methods for dual-rate sampled-data nonlinear output-error systems.

One method is the missing output estimation based stochastic gradient identification algorithm and the other method is the auxiliary model based stochastic gradient identification algorithm.

Different from the polynomial transformation based identification methods, the two methods in this paper can estimate the unknown parameters directly.

A numerical example is provided to confirm the effectiveness of the proposed methods.