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Open AccessArticle

Generalized Linear Quadratic Control for a Full Tracking Problem in Aviation

1
Institute of Aeronautics and Applied Mechanics, Warsaw University of Technology, 00-665 Warsaw, Poland
2
Institute of Heat Engineering, Warsaw University of Technology, 00-665 Warsaw, Poland
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(10), 2955; https://doi.org/10.3390/s20102955
Received: 23 March 2020 / Revised: 7 May 2020 / Accepted: 19 May 2020 / Published: 22 May 2020
(This article belongs to the Section Remote Sensors)
In this paper, the full tracking problem in aircraft system identification and control is presented. Time domain output error method with maximum likelihood principle was used to perform system identification. The linear quadratic regulator (LQR)-based approach has been used for solving aviation full tracking problems in aviation. It has been shown that the generalized nonlinear LQR control is able to handle such problems even in case of inaccurate measurements and in the presence of moderate disturbances provided that the model of an aircraft is properly identified. View Full-Text
Keywords: control; LQR; system identification; trajectory tracking; aviation control; LQR; system identification; trajectory tracking; aviation
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Dul, F.; Lichota, P.; Rusowicz, A. Generalized Linear Quadratic Control for a Full Tracking Problem in Aviation. Sensors 2020, 20, 2955.

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