@InProceedings{10.1007/978-981-96-2264-1_15,
author="Zongo, Alex B.
and Qing, Li",
editor="Yan, Liang
and Duan, Haibin
and Deng, Yimin",
title="Towards Intelligent Fault-Tolerant Attitude Control of Fixed-Wing Aircraft",
booktitle="Advances in Guidance, Navigation and Control",
year="2025",
publisher="Springer Nature Singapore",
address="Singapore",
pages="152--161",
abstract="This study advances flight control systems by integrating deep reinforcement learning to enhance fault tolerance in fixed-wing aircraft. We assess the efficiency of Cross-Entropy Method Reinforcement Learning (CEM-RL) and Proximal Policy Optimization (PPO) algorithms in developing an adaptive stable attitude controller. Our proposed frameworks, focusing on smooth actuator control, showcase improved robustness across standard and fault-induced scenarios. The algorithms demonstrate unique traits in terms of trade-offs between trajectory tracking and control smoothness. Our approach that results in state-of-the-art performance with respect to benchmarks, presents a leap forward in autonomous aviation safety.",
isbn="978-981-96-2264-1"
}