Two-stage interacting multiple model algorithm

Yan Liang, Wei Tan, Quan Pan, Hong Cai Zhang

科研成果: 期刊稿件文章同行评审

1 引用 (Scopus)

摘要

In hybrid estimation, interacting multiple model (IMM) estimator is one of the most cost-effective schemes. But IMM will degrade if too many models are chosen. This is due to the limit of Markov parameters. A dual Markov switching process is proposed. Then a two-stage IMM is given. Simulations show that the new algorithm is better than IMM for large measurement noise and almost the same as IMM for small measurement noise when two abruptly-changing statistic parameters of process noise are identified.

源语言英语
页(从-至)651-656
页数6
期刊Zidonghua Xuebao/Acta Automatica Sinica
27
5
出版状态已出版 - 9月 2001
已对外发布

指纹

探究 'Two-stage interacting multiple model algorithm' 的科研主题。它们共同构成独一无二的指纹。

引用此