Recursive estimation of transition probabilities for jump Markov linear systems under minimum Kullback–Leibler divergence criterion-Reference-Cited by-同舟云学术

Recursive estimation of transition probabilities for jump Markov linear systems under minimum Kullback–Leibler divergence criterion

Published:2015-11 Issue:17 Volume:9 Page:2491-2499
ISSN:1751-8652
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Applications

Author:

Guo Rui¹,Shen Mingwei¹,Huang Defeng (David)²,Yin Xinghui¹,Xu Lizhong¹

Affiliation:

1. College of Computer Information, Hohai UniversityNanjing211100People's Republic of China

2. School of Electrical, Electronic Computer Engineering, University of Western AustraliaCrawley6009Australia

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cta.2014.0590

Reference25 articles.

1. On state estimation in switching environments;Ackerson G.A.;IEEE Trans. Autom. Control,1970

2. The interacting multiple model algorithm for systems with Markovian switching coefficients

3. Radar target tracking – Viterbi versus IMM;Averbuch A.;IEEE Trans. Aerosp. Electron. Syst.,1991

4. MAP estimation of target manoeuvre sequence with the expectation–maximization algorithm;Pulford G.W.;IEEE Trans. Aerosp. Electron. Syst.,2002

5. Interacting multiple model particle filter

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