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Filtering for Interconnected Nonlinear Sampled-Data Systems With Parametric Uncertainties

Centre for Industrial and Applicable Mathematics, School of Mathematics, The University of South Australia, SA 5095, Australia

The problem of H filtering for a class of interconnected nonlinear continuous-time systems sub ject to real time-varying parameter uncertainty with sampled-data measurements is considered. Linear filters are designed that would guarantee a prescribed H performance in the continuous-time context, irrespective of the parameter uncertainty, nonlinear interactions, and unknown initial states. Both the cases of finite and infinite horizon filtering are investigated in terms of a set of differential Riccati equations with finite discrete jumps. Two examples are given to show the potential of the proposed technique.

Key Words: Key Words: Filtering • interconnected systems • Riccati equations • sampled-data systems

Journal of Vibration and Control, Vol. 5, No. 4, 591-618 (1999)
DOI: 10.1177/107754639900500406


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