Proceedings of the 2001 IEEE International Conference on Control Applications (CCA'01) (Cat. No.01CH37204)
DOI: 10.1109/cca.2001.973979
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Optimal polynomial filter of degrees 3 and 4 and its application to an automotive system

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Cited by 2 publications
(4 citation statements)
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“…where the matrix function is the solution of the following equation dual to the variance equation (5) with the terminal condition Q(T)= Y. The binary operation * has been introduced in Section 3, and q(t) =(ql(t),q2(t) , ...,qn( t)) denotes the vector consisting of the diagonal elements of Q(t).…”
Section: Pnn(t> %(T)pnl(t) Nb(t)p~(t)nb(t)pnn(t)mentioning
confidence: 99%
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“…where the matrix function is the solution of the following equation dual to the variance equation (5) with the terminal condition Q(T)= Y. The binary operation * has been introduced in Section 3, and q(t) =(ql(t),q2(t) , ...,qn( t)) denotes the vector consisting of the diagonal elements of Q(t).…”
Section: Pnn(t> %(T)pnl(t) Nb(t)p~(t)nb(t)pnn(t)mentioning
confidence: 99%
“…In this section, the optimal filtering equations for a polynomial state equation of degree 3 over linear observations (obtained in [5]) are briefly reminded for reference purposes. Let an unobservable random process x(t) satisfy a polynomial equation of third degree and linear observations are given by:…”
Section: F"'imal Filter For Polynomial State Equation Of Degree 3mentioning
confidence: 99%
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