期刊
SIMULATION MODELLING PRACTICE AND THEORY
卷 34, 期 -, 页码 12-19出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.simpat.2012.12.009
关键词
Iterative identification; Recursive identification; Parameter estimation; Stochastic gradient; Least squares
资金
- National Natural Science Foundation of China [51204149]
An iterative least squares algorithm and a recursive least squares algorithms are developed for estimating the parameters of moving average systems. The key is use the least squares principle and to replace the unmeasurable noise terms in the information vector. The steps and flowcharts of computing the parameter estimates are given. The simulation results validate that the proposed algorithms can work well. (C) 2013 Elsevier B.V. All rights reserved.
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