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A maximum likelihood estimator for switching linear systems with unknown inputs
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DOI：10.1016/j.automatica.2019.07.003.png)
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摘要
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This paper investigates the construction of an estimator for switching linear systems with unknown inputs (UI) and Gaussian noises, in the case of unknown switching sequence. First, a maximum-likelihood switching sequence estimator is constructed. Then, both state and UI estimators are proposed. An example illustrates the theoretical contributions. (C) 2019 Elsevier Ltd. All rights reserved.
Keyword:
State estimation
Minimum variance estimation
Unknown input
Switching systems
Discrete-time system
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期刊
IF:
5.9
论文数:
1.2W
被引数:
5.2W
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