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Nonlinear system parameter identification-A modified Kalman filter algorithm

dc.contributor.authorSinha S.K.; Nagraja T.
dc.date.accessioned2025-05-24T09:57:53Z
dc.description.abstractA modified Kalman filter for parameter identification for non-linear system involves linearization, as there is no direct method available In literature. The extended Kalman filter algorithm for continuous system parameter identification given by authors [3] is applicable to nonlinear continuous system parameter identification by linearizing about the equilibrium points utilising Jacobian matrix method, Effectiveness of the desired algorithm has been illustrated by a second order example of Rayleigh's equation[6]. © 1990 IEEE.
dc.identifier.doihttps://doi.org/10.1109/ACE.1990.762650
dc.identifier.urihttp://172.23.0.11:4000/handle/123456789/22644
dc.relation.ispartofseriesProceedings of 16th Annual Convention and Exhibition of the IEEE in India, ACE 1990
dc.titleNonlinear system parameter identification-A modified Kalman filter algorithm

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