期刊
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
卷 50, 期 9, 页码 1436-1441出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAC.2005.854654
关键词
convergence properties; martingale theory; multirate systems; output error method; output estimation; recursive identification; stochastic gradient
In this note, a new gradient-based recursive algorithm for estimating parameters of dual-rate sampled-data systems is presented. The basic idea is, by using an output error method, to identify the single-rate models and the unknown noise-free outputs (true outputs) directly from dual-rate input-output data. Further, convergence properties of the proposed algorithm in parameter and output estimation are analyzed; and the result is illustrated and tested with an experimental water-level system.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据