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This paper investigates the problem of energy-to-peak (l2 - l∞) filtering for discrete-time uncertain systems with polyhedral uncertainties in the state-space equations. By increasing the flexible dimensions in the solution space for the energy-to-peak optimization, less conservative results on the robust energy-to-peak filtering are obtained. The filter parameters can be readily designed by solving a set of parameter-dependent linear matrix inequalities (LMIs). In comparison with the existing methods, the improvement of the proposed method over the existing results is shown via a numerical example.
American Control Conference (ACC), 2010
Date of Conference: June 30 2010-July 2 2010