Comparison of standard and modified recursive state estimation techniques for nonlinear systems

Charalampidis, A; Papavassilopoulos, G

dc.contributor.author	Charalampidis, A	en
dc.contributor.author	Papavassilopoulos, G	en
dc.date.accessioned	2014-03-01T02:51:52Z
dc.date.available	2014-03-01T02:51:52Z
dc.date.issued	2009	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35703
dc.subject	Estimation Error	en
dc.subject	extended kalman filter	en
dc.subject	Nonlinear Estimation	en
dc.subject	Nonlinear Filter	en
dc.subject	Nonlinear System	en
dc.subject	Particle Filter	en
dc.subject	State Estimation	en
dc.subject	unscented kalman filter	en
dc.subject	kalman filter	en
dc.subject	sampling importance resampling	en
dc.title	Comparison of standard and modified recursive state estimation techniques for nonlinear systems	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/MED.2009.5164528	en
heal.identifier.secondary	http://dx.doi.org/10.1109/MED.2009.5164528	en
heal.publicationDate	2009	en
heal.abstract	This paper deals with recursive state estimation for nonlinear systems. A new set of sigma-points for the unscented Kalman filter is proposed as well as a way to substitute a nonlinear output with a linear one. The importance of the function of the state which must be estimated is also illustrated and the need for taking it into account when	en
heal.journalName	Mediterranean Conference on Control and Automation	en
dc.identifier.doi	10.1109/MED.2009.5164528	en