Real-time implementation of nonlinear model predictive control for high angle of attack Maneuvers in fighter aircrafts using deep learning-Reference-Cited by-同舟云学术

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

Published:2024-04-23 Issue:1 Volume:12 Page:
ISSN:2164-2583
Container-title:Systems Science & Control Engineering
language:en
Short-container-title:Systems Science & Control Engineering

Author:

Manzoor Muhammad Faheem¹^ORCID,Paulson Joel A.²,Butt Yasir Awais³,Rehman Fazal-ur¹,Bhatti Aamer Iqbal¹

Affiliation:

1. Department of Electrical Engineering, Capital University of Science and Technology, Islamabad, Pakistan

2. Department of Chemical and Bio-Molecular Engineering, The Ohio State University, Columbus, OH, USA

3. Department of Electrical Engineering, Military College of Signals, NUST, Islamabad, Pakistan

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/21642583.2024.2342819

Reference29 articles.

1. CasADi: a software framework for nonlinear optimization and optimal control

2. Ashraf A. Mei W. Gaoyuan L. Kamal M. M. & A.. Mutahir (2018). Linear feedback and LQR controller design for aircraft pitch control. In 2018 IEEE 4th International Conference on Control Science and Systems Engineering (ICCSSE) (pp. 276–278). IEEE.

3. Betti G. Farina M. & Scattolini R. (2012). An MPC algorithm for offset-free tracking of constant reference signals. In 2012 IEEE 51st IEEE Conference on Decision and Control (CDC) (pp. 5182–5187). IEEE.

4. A Robust MPC Algorithm for Offset-Free Tracking of Constant Reference Signals

5. Bhatti S. G. & Bhatti A. I. (2021). Bilstm based phase modulation detection of radar emitters. In 2021 CIE International Conference on Radar (Radar) (pp. 3272–3276). IEEE.

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