Abstract
A technique is proposed to address the robust stability of nonlinear systems. It is based on conic confinerrent of the nonlinear part of the dynamics. The optimal (maximal) bounding cones are characterized, and an algorithm is provided. After that, the nonlinearity is modelled as a structured complex uncertainty. Stability under additional real-parametric uncertainties is addressed by robust QFT techniques, giving conditions in the form of frequency templates for the controller.
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