A wheel slip control scheme for aeronautical braking applications based on neural network estimation

DOI10.1016/J.EJCON.2022.100691zbMath1501.93105OpenAlexW4283066040MaRDI QIDQ2095342

Giulio Panzani, Sergio M. Savaresi, Mara Tanelli, Gianluca Papa, Pierdomenico Schiano

Publication date: 9 November 2022

Published in: European Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejcon.2022.100691

zbMATH Keywords

neural networksaircraftbraking controlanti-skid controlwheel slip estimation

Mathematics Subject Classification ID

Application models in control theory (93C95)

Uses Software

• ROMO

Cites Work

• Active braking control systems design for vehicles
• On linear-parameter-varying (LPV) slip-controller design for two-wheeled vehicles

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