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- W2358879162 abstract "This paper was concerned with the problem of robust sampled data state estimation for uncertain continuous time systems. A sampled data estimation covariance is given by taking intersample behaviour into account. The primary purpose of this paper is to design robust discrete time Kalman filters such that the sampled data estimation covariance is not more than a prespecified value, and therefore the error variances achieve the desired constraints. It is shown that the addressed problem can be converted into a similar problem for a fictitious discrete time system. The existence conditions and the explicit expression of desired filters were both derived. Finally, a simple example was presented to demonstrate the effectiveness of the proposed design procedure." @default.
- W2358879162 created "2016-06-24" @default.
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- W2358879162 date "1999-01-01" @default.
- W2358879162 modified "2023-09-25" @default.
- W2358879162 title "ROBUST FILTERS WITH SAMPLED DATA ESTIMATION COVARANCE CONSTRAINT FOR UNCERTAIN CONTINUOUS TIME SYSTEMS" @default.
- W2358879162 hasPublicationYear "1999" @default.
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