Distributed moving horizon fusion estimation for linear constrained uncertain systems

In this paper, the distributed moving horizon fusion estimation of uncertain systems with constraints of system noise and state variables is studied. Firstly, relying on the basic idea of consensus algorithm, the cost function in the performance index is reconstructed by weighted fusion of the state...

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Vydané v:	Asian journal of control Ročník 26; číslo 6; s. 3027 - 3039
Hlavní autori:	Wang, Shoudong, Xue, Binqiang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Hoboken Wiley Subscription Services, Inc 01.11.2024
Predmet:	Algorithms consensus algorithm Cost function Error analysis moving horizon estimation Noise prediction Observability (systems) Optimization Parameter uncertainty performance index Performance indices Regularization regularization method stability analysis State estimation uncertain parameters
ISSN:	1561-8625, 1934-6093
On-line prístup:	Získať plný text
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