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Reinforcement learning-adaptive fault-tolerant IGC method for a class of aircraft with non-affine characteristics and multiple uncertainties – CORRIGENDUM

Published online by Cambridge University Press:  16 December 2024

Z. Wang
Affiliation:
Research Center for Unmanned System Strategy Development, Northwestern Polytechnical University, Xi’an, Shaanxi, China National Key Laboratory of Aerospace Flight Dynamics, Northwestern Polytechnical University, Xi’an, Shaanxi, China Northwest Institute of Mechanical and Electrical Engineering, Xianyang, China Unmanned System Research Institute, Northwestern Polytechnical University, Xi’an, Shaanxi, China
Y. T. Hao*
Affiliation:
Unmanned System Research Institute, Northwestern Polytechnical University, Xi’an, Shaanxi, China
J. L. Liu
Affiliation:
Unmanned System Research Institute, Northwestern Polytechnical University, Xi’an, Shaanxi, China
Y. F. Bai
Affiliation:
China Academy of Launch Vehicle Technology, Beijing, China
D. X. Yu
Affiliation:
School of Artificial Intelligence, OPtics and ElectroNlics (iOPEN), Northwestern Polytechnical University, Xi’an, Shaanxi, China
*
Corresponding author: Y. T. Hao; Email: [email protected]
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Abstract

Type
Corrigendum
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of Royal Aeronautical Society

The authors apologise that an authorial affiliation was not given correctly in the originally published piece:

4Research Center for Unmanned System Strategy Development, Northwestern Polytechnical University, Xi’an, Shaanxi, China” should be “4Unmanned System Research Institute, Northwestern Polytechnical University, Xi’an, Shaanxi, China.” This affiliation has now been corrected in the original article.

References

Wang, Z., Hao, Y.T., Liu, J.L., Bai, Y.F. and Yu, D.X.. Reinforcement learning-adaptive fault-tolerant IGC method for a class of aircraft with non-affine characteristics and multiple uncertainties. The Aeronautical Journal, https://doi.org/10.1017/aer.2024.86.Google Scholar