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  • Search: subject:"Multiple model estimation"
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Year of publication
Subject
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Multiple model estimation 3 Fault detection and identification 2 Hybrid estimation 2 Maneuvering target tracking 2 Sequential probability ratio test 2 Variable structure multiple model estimation 2 Bootstrap algorithm 1 Target tracking 1
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Online availability
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Free 1 Undetermined 1
Type of publication
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Article 1 Book / Working Paper 1 Other 1
Type of publication (narrower categories)
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Thesis 1
Language
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Undetermined 3
Author
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Ru, Jifeng 2 Angelova, D.S. 1 Jilkov, V.P. 1 Semerdjiev, Tz.A. 1
Published in...
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Mathematics and Computers in Simulation (MATCOM) 1
Source
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BASE 2 RePEc 1
Showing 1 - 3 of 3
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Adaptive Estimation and Detection Techniques with Applications
Ru, Jifeng - 2005
Hybrid systems have been identified as one of the main directions in control theory and attracted increasing attention in recent years due to their huge diversity of engineering applications. Multiplemodel (MM) estimation is the state-of-the-art approach to many hybrid estimation problems....
Persistent link: https://www.econbiz.de/10009451100
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Cover Image
Adaptive Estimation and Detection Techniques with Applications
Ru, Jifeng - 2005
Hybrid systems have been identified as one of the main directionsin control theory and attracted increasing attention in recent yearsdue to their huge diversity of engineering applications. Multiplemodel(MM) estimation is the state-of-the-art approach to manyhybrid estimation problems. Existing...
Persistent link: https://www.econbiz.de/10009468609
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Cover Image
Target tracking using Monte Carlo simulation
Semerdjiev, Tz.A.; Jilkov, V.P.; Angelova, D.S. - In: Mathematics and Computers in Simulation (MATCOM) 47 (1998) 2, pp. 441-447
This paper proposes and studies an implementation of the bootstrap stochastic simulation approach for estimating a hybrid system – the bootstrap multiple model (BMM) algorithm. The BMM filter is applied to tracking maneuvering target. The tracking capabilities of the filter are demonstrated by...
Persistent link: https://www.econbiz.de/10010748824
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