Delayed recursive state and input reconstruction

Show simple item record Chavan, Roshan Anandrao Palanthandalam-Madapusi, Harish 2015-10-06T06:29:03Z 2015-10-06T06:29:03Z 2015
dc.identifier.citation Chavan, Roshan A. and Palanthandalam-Madapusi, Harish J., "Delayed recursive state and input reconstruction", arXiv, Cornell University Library, DOI: arXiv:1509.06226, Sep. 2015. en_US
dc.identifier.other arXiv:1509.06226,
dc.description.abstract The unknown inputs in a dynamical system may represent unknown external drivers, input uncertainty, state uncertainty, or instrument faults and thus unknown-input reconstruction has several wide-spread applications. In this paper we consider delayed recursive reconstruction of states and unknown inputs for both square and non-square systems. That is, we develop filters that use current measurements to estimate past states and reconstruct past inputs. We further derive necessary and sufficient conditions for convergence of filter estimates and show that these convergence properties are related to multivariable zeros of the system. With the help of illustrative examples we highlight the key contributions of this paper in relation with the existing literature. Finally, we also show that existing unbiased minimum-variance filters are special cases of the proposed filters and as a consequence the convergence results in this paper also apply to existing unbiased minimum-variance filters. en_US
dc.description.statementofresponsibility by Roshan A. Chavan and, Harish J. Palanthandalam-Madapusi
dc.language.iso en_US en_US
dc.publisher Cornell University Library en_US
dc.subject Delayed recursive state en_US
dc.subject Input reconstruction en_US
dc.subject External drivers en_US
dc.subject Instrument faults en_US
dc.title Delayed recursive state and input reconstruction en_US
dc.type Article en_US

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