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Online state and unknown inputs estimation for nonlinear systems with particle filter based recursive expectation‐maximization algorithm.

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Title: Online state and unknown inputs estimation for nonlinear systems with particle filter based recursive expectation‐maximization algorithm.
Authors: Liu, Zhuangyu1 (AUTHOR), Zhao, Shunyi1 (AUTHOR), Wan, Haiying1 (AUTHOR), Luan, Xiaoli1 (AUTHOR) xlluan@jiangnan.edu.cn, Liu, Fei1 (AUTHOR)
Source: International Journal of Robust & Nonlinear Control. 9/10/2024, Vol. 34 Issue 13, p8768-8784. 17p.
Database: Mathematics Source
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  Data: Online state and unknown inputs estimation for nonlinear systems with particle filter based recursive expectation‐maximization algorithm.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Robust+%26+Nonlinear+Control%22">International Journal of Robust & Nonlinear Control</searchLink>. 9/10/2024, Vol. 34 Issue 13, p8768-8784. 17p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=178973651
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        Value: 10.1002/rnc.7416
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      – Code: eng
        Text: English
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        PageCount: 17
        StartPage: 8768
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      – TitleFull: Online state and unknown inputs estimation for nonlinear systems with particle filter based recursive expectation‐maximization algorithm.
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            NameFull: Liu, Zhuangyu
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            NameFull: Zhao, Shunyi
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            NameFull: Wan, Haiying
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            NameFull: Luan, Xiaoli
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            NameFull: Liu, Fei
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            – D: 10
              M: 09
              Text: 9/10/2024
              Type: published
              Y: 2024
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              Value: 34
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