Abstract
This chapter deals with robust \(H_{\infty }\) filtering for continuous two-dimensional systems with delays, considering several situations: constant or time-varying delays and combined with polytopic or linear fractional uncertainties. Sufficient conditions to have an \(H_{\infty }\) noise attenuation are given in terms of linear matrix inequalities, so \(H_{\infty }\) filters can be obtained by solving a convex optimization problem. Examples are given to illustrate the effectiveness of the proposed results.
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Benzaouia, A., Hmamed, A., Tadeo, F. (2016). Robust \(H_{\infty }\) Filtering for Two-Dimensional Delayed Systems. In: Two-Dimensional Systems. Studies in Systems, Decision and Control, vol 28. Springer, Cham. https://doi.org/10.1007/978-3-319-20116-0_9
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DOI: https://doi.org/10.1007/978-3-319-20116-0_9
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