Abstract
For linear plants with unstructured or structured uncertainty of bounded norm, this paper designs Pareto optimal robust controllers in terms of linear matrix inequalities in multicriteria control problems with the generalized H2 or γ0 norms. The controller design procedure is based on optimization of a scalar objective function (Germeier convolution) and semi-definite programming. The developed theory is used to design multicriteria robust controllers in the stabilization problem for a rotor in electromagnetic bearings.
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Original Russian Text © D.V. Balandin, M.M. Kogan, 2018, published in Avtomatika i Telemekhanika, 2018, No. 6, pp. 49–68.
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Balandin, D.V., Kogan, M.M. Multicriteria Robust Generalized H2 and γ0 Controllers with Application to Stabilization of a Rotor in Electromagnetic Bearings. Autom Remote Control 79, 996–1012 (2018). https://doi.org/10.1134/S0005117918060024
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DOI: https://doi.org/10.1134/S0005117918060024