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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Autori principali:	Muhammad Faheem Manzoor, Joel A. Paulson, Yasir Awais Butt, Fazal-ur Rehman, Aamer Iqbal Bhatti
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Taylor & Francis Group 2024-12-01
Serie:	Systems Science & Control Engineering
Soggetti:	NMPC real-time implementation neural network CasADi unscented Kalman filter F-16
Accesso online:	https://www.tandfonline.com/doi/10.1080/21642583.2024.2342819
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