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A Study on Stability of the Interacting Multiple Model Algorithm

delete2017-02-01
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PRE
AI
I
Inseok Hwang *
C
Chze Eng Seah
S
Sangjin Lee
DOI:10.1109/TAC.2016.2558156delete
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摘要

摘要

En 中文
The Interacting Multiple Model (IMM) algorithm has been used in various applications with good performance. However, to the best of our knowledge, stability conditions of the IMM algorithm have not been shown in the control literature. This technical note presents a sufficient condition for the exponential stability of the IMM algorithm for a class of Markov jump linear systems. We derive a lower bound and an upper bound for the error covariances of the IMM algorithm, and then derive the stability condition by the Lyapunov approach.
Keyword:
Hybrid systems
interacting multiple model (IMM) algorithm
multiple model Kalman filter
stability analysis
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期刊

IEEE Transactions on Automatic Control 封面图
IEEE Transactions on Automatic Control
IF:
7
论文数:
1.3W
被引数:
6.7W

机构

Purdue University System 封面图
Purdue University System
学者数:
3.9W
论文数: 3.6W
被引数: 66
P
Purdue University
学者数:
2.7W
论文数: 2.1W
被引数: 147