Abstract
In this paper, a novel finite-horizon, discrete-time, time-varying state estimation method is proposed based on the recent robust semi-definite programming technique. The proposed formulation guarantees a robust performance with respect to model uncertainties which are known to lie within certain a priori bounds. This is in contrast to earlier robust designs, such as H/sup /spl infin//, which accommodate all conceivable uncertainties and therefore lead to overly conservative solutions.
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