Simultaneous State and Parameter Estimation Methods Based on Kalman Filters and Luenberger Observers: A Tutorial & Review

Simultaneous state and parameter estimation is essential for control system design and dynamic modeling of physical systems. This capability provides critical real-time insight into system behavior, supports the discovery of underlying mechanisms, and facilitates adaptive control strategies. Surveye...

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Hlavní autoři:	Amal Chebbi, Matthew A. Franchek, Karolos Grigoriadis
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-11-01
Edice:	Sensors
Témata:	simultaneous state and parameter estimation Kalman Filters Luenberger Observers Extended Kalman Filter Unscented Kalman Filter Cubature Kalman Filter
On-line přístup:	https://www.mdpi.com/1424-8220/25/22/7043
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