Robust H/sub /spl infin// filtering for uncertain systems with sampled-data measurements

This paper investigates the problem of H/sub /spl infin// filtering for linear continuous-time systems subject to real time-varying parameter uncertainty and with sampled-data measurements. We address the design of linear filters that would guarantee a prescribed H/sub /spl infin// performance in the continuous-time context, irrespective of the parameter uncertainty and unknown initial states. The cases of both finite and infinite horizon filtering are considered.<
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