Abstract
Linear stationary discrete-time descriptor systems with input sequences of random Gaussian nonzero-mean vectors with bounded mean anisotropy are under consideration. Conditions of anisotropic norm boundedness for such systems are given in terms of generalized discrete-time algebraic Riccati equations (GDARE) and linear matrix inequalities (LMI). On basis of these results, the algorithm of anisotropic norm computation using convex optimization techniques is developed. Numerical examples illustrate methods of anisotropic norm computation.
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Original Russian Text © O.G. Andrianova, A.P. Kurdyukov, A.Yu. Kustov, 2015, published in Izvestiya Akademii Nauk. Teoriya i Sistemy Upravleniya, 2015, No. 5, pp. 10–23.
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Andrianova, O.G., Kurdyukov, A.P. & Kustov, A.Y. Anisotropic norm computation for descriptor systems with nonzero-mean input signals. J. Comput. Syst. Sci. Int. 54, 678–690 (2015). https://doi.org/10.1134/S1064230715050020
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DOI: https://doi.org/10.1134/S1064230715050020