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State estimation in the presence of bounded disturbances

โœ Scribed by Y. Becis-Aubry; M. Boutayeb; M. Darouach

Publisher
Elsevier Science
Year
2008
Tongue
English
Weight
461 KB
Volume
44
Category
Article
ISSN
0005-1098

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โœฆ Synopsis

This contribution proposes a robust recursive algorithm for the state estimation of linear models with unknown but bounded disturbances corrupting both the state and measurement vectors. A novel approach based on state bounding techniques is presented. The proposed algorithm can be decomposed into two steps: time updating and observation updating that uses a switching estimation Kalman-like gain matrix. Particular emphasis will be given to the design of a weighting factor that ensures the stability of the estimation error.

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