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Filtering on sampled-data systems with parametric uncertainty

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1 Author(s)
Peng Shi ; Sch. of Math., South Australia Univ., The Levels, SA, Australia

The paper is concerned with the problem of robust H filtering for a class of systems with parametric uncertainties and unknown time delays under sampled measurements. The parameter uncertainties considered are real time-varying and norm-bounded, appearing in the state equation. An approach has been proposed for the designing of H filters, using sampled measurements, which would guarantee a prescribed H performance in the continuous-time context, irrespective of the parameter uncertainties and unknown time delays. Both cases of finite and infinite horizon filtering are studied. It has been shown that the above robust H-filtering problem can be solved in terms of differential Riccati inequalities with finite discrete jumps

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Automatic Control, IEEE Transactions on  (Volume:43 ,  Issue: 7 )