Publications [#336160] of Silvia Ferrari

Papers Published

1. Fu, B; Ferrari, S, Robust flight control via minimum H∞ entropy principle, Aiaa Guidance, Navigation, and Control Conference, 2018 no. 210039 (January, 2018), American Institute of Aeronautics and Astronautics, ISBN 9781624105265 [doi]
   (last updated on 2021/09/05)

   Abstract:
   Robust control methods, such as H∞ and µ-analysis, have been proven very effective at guaranteeing input-output stability in the face of random disturbances, parameter variations, and rapidly changing command inputs. However, in real-world applications, H∞ objectives cannot capture all necessary control design specifications. H2-synthesis, for example, is better suited to represent regulation and pole placement objectives. Minimum entropy control is one approach recently proposed to represent mixed H∞/H2 objectives. In this paper, a minimum entropy control design is developed for output-feedback longitudinal flight control, so as to meet both RMS gain and H∞-performance specifications. The comparison with a mixed-objective control design obtained by Linear Matrix Inequalities (LMIs) demonstrates the effectiveness and robustness of the proposed minimum-entropy design.