Real-time implementation of nonlinear model predictive control for high angle of attack Maneuvers in fighter aircrafts using deep learning

Real-time implementation of nonlinear model predictive control for high angle of attack Maneuvers in fighter aircrafts using deep learning

Nonlinear model predictive control (NMPC) provides a nice framework for accounting for multivariable nonlinear dynamics subject to constraints; however, the cost of implementing NMPC is high due to the need to solve a large-scale nonlinear program to optimality in real-time. This research is focusse...

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Bibliographic Details
Main Authors: Muhammad Faheem Manzoor, Joel A. Paulson, Yasir Awais Butt, Fazal-ur Rehman, Aamer Iqbal Bhatti
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Systems Science & Control Engineering
Subjects:
NMPC
real-time implementation
neural network
CasADi
unscented Kalman filter
F-16
Online Access:https://www.tandfonline.com/doi/10.1080/21642583.2024.2342819
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