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

摘要

This paper presents two methods for dual-rate sampled-data nonlinear output-error systems. Onemethod is the missing output estimation based stochastic gradient identification algorithm and the othermethod is the auxiliary model based stochastic gradient identification algorithm. Different from thepolynomial transformation based identification methods, the two methods in this paper can estimatethe unknown parameters directly. A numerical example is provided to confirm the effectiveness of theproposed methods.