Kalman Filtering in the Presence of State Space Equality Constraints

dc.creatorGupta, Nachi
dc.date2007-05-31
dc.date.accessioned2026-07-07T08:03:42Z
dc.date.available2026-07-07T08:03:42Z
dc.descriptionWe discuss two separate techniques for Kalman Filtering in the presence of state space equality constraints. We then prove that despite the lack of similarity in their formulations, under certain conditions, the two methods result in mathematically equivalent constrained estimate structures. We conclude that the potential benefits of using equality constraints in Kalman Filtering often outweigh the computational costs, and as such, equality constraints, when present, should be enforced by way of one of these two methods.
dc.description7 pages, to appear in the IEEE Proceedings of the 26th Chinese Control Conference (2007)
dc.identifierhttps://arxiv.org/abs/0705.4563
dc.identifierhttp://arxiv.org/abs/0705.4563
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/129675
dc.subjectAtmospheric and Oceanic Physics
dc.subjectData Analysis, Statistics and Probability
dc.titleKalman Filtering in the Presence of State Space Equality Constraints
dc.typetext

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