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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Bibliographic Details
Published in:	Asian journal of control Vol. 26; no. 6; pp. 3027 - 3039
Main Authors:	Wang, Shoudong, Xue, Binqiang
Format:	Journal Article
Language:	English
Published:	Hoboken Wiley Subscription Services, Inc 01.11.2024
Subjects:	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
Online Access:	Get full text
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