Recursive estimation for linear models with set membership measurement error

Abstract In this paper attention is restricted to linear systems described by y = Ar + e where the measurement error vector is unknown but bounded. In this context, the behaviour ot two new recursive algorithms for the central and projection estimates determination is investigated. Λ simulation study is performed on some significant examples and the obtained results are compared with those of other off-line algorithms.

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