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

The article presents an innovative approach to simultaneously estimate states and unknown inputs (UIs) in nonlinear systems using a particle filter (PF) based recursive expectation‐maximization (EM) algorithm. This method is distinct from traditional iterative EM algorithms. During the E‐step, it ca...

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Veröffentlicht in:	International journal of robust and nonlinear control Jg. 34; H. 13; S. 8768 - 8784
Hauptverfasser:	Liu, Zhuangyu, Zhao, Shunyi, Wan, Haiying, Luan, Xiaoli, Liu, Fei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Bognor Regis Wiley Subscription Services, Inc 10.09.2024
Schlagworte:	Algorithms fermentation process Maximization Maximum likelihood estimates Nonlinear systems Optimization particle filter (PF) recursive EM algorithm Recursive functions unknown inputs (UIs)
ISSN:	1049-8923, 1099-1239
Online-Zugang:	Volltext
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