Expectation‐maximization algorithm for bilinear state‐space models with time‐varying delays under non‐Gaussian noise

In this paper, the parameter identification of bilinear state‐space model (SSM) in the presence of random outliers and time‐varying delays is investigated. Under the basis of the observable canonical form of the bilinear model, the system output can be written as a regressive form, and a bilinear st...

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Veröffentlicht in:	International journal of adaptive control and signal processing Jg. 37; H. 10; S. 2706 - 2724
Hauptverfasser:	Wang, Xinyue, Ma, Junxia, Xiong, Weili
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Bognor Regis Wiley Subscription Services, Inc 01.10.2023
Schlagworte:	Algorithms Canonical forms Continuously stirred tank reactors Markov chains Mathematical models Maximization Noise measurement Optimization Outliers (statistics) Parameter estimation Parameter identification Random noise State observers Transition probabilities
ISSN:	0890-6327, 1099-1115
Online-Zugang:	Volltext
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