Observer-based gust load alleviation via reduced-order models*

[1]  Charles Poussot-Vassal,et al.  Interpolatory Methods for Generic BizJet Gust Load Alleviation Function , 2020, SIAM J. Appl. Dyn. Syst..

[2]  Ilya Kolmanovsky,et al.  Control Allocation for Maneuver and Gust Load Alleviation of Flexible Aircraft , 2020 .

[3]  Charles Poussot-Vassal,et al.  A Generalized State-Space Aeroservoelastic Model Based on Tangential Interpolation , 2019, Aerospace.

[4]  Eli Livne,et al.  Aircraft Active Flutter Suppression: State of the Art and Technology Maturation Needs , 2017 .

[5]  Yi Wang,et al.  Model Order Reduction of Aeroservoelastic Model of Flexible Aircraft , 2016 .

[6]  Takayuki Ishizaki,et al.  Projective state observers for large-scale linear systems , 2014, 2014 European Control Conference (ECC).

[7]  Takayuki Ishizaki,et al.  Low-dimensional functional observer design for linear systems via observer reduction approach , 2013, 52nd IEEE Conference on Decision and Control.

[8]  P. Goulart,et al.  Robust Gust Alleviation and Stabilization of Very Flexible Aircraft , 2013 .

[9]  Martin J. Brenner,et al.  Adaptive Feedforward Control for Gust Loads Alleviation , 2008 .

[10]  Athanasios C. Antoulas,et al.  Approximation of Large-Scale Dynamical Systems , 2005, Advances in Design and Control.

[11]  Kim-Chuan Toh,et al.  SDPT3 -- A Matlab Software Package for Semidefinite Programming , 1996 .

[12]  B. Shafai,et al.  Robust control system design with a proportional integral observer , 1989 .

[13]  Mordechay Karpel,et al.  Design for Active Flutter Suppression and Gust Alleviation Using State-Space Aeroelastic Modeling , 1980 .

[14]  Steven Liu,et al.  Observer design for interconnected systems with model reduction and unknown inputs , 2020 .

[15]  Rolf Findeisen,et al.  Model Predictive Control for Gust Load Alleviation , 2012 .

[16]  Gustavo C. Buscaglia,et al.  Sensitivity of lubricated devices ton changes in their macro / microscopic shape , 2005 .

[17]  J. Lofberg,et al.  YALMIP : a toolbox for modeling and optimization in MATLAB , 2004, 2004 IEEE International Conference on Robotics and Automation (IEEE Cat. No.04CH37508).