Researchers have made many attempts to apply reinforcement learning (RL) to learn to fly
aircraft in recent years. However, existing RL strategies are usually not safe (eg, can lead to …

The upset state is an unexpected flight state, which is characterized by an unintentional
deviation from normal operating parameters. It is difficult for the pilot to recover the aircraft …

Aircraft upset situations are the highest risk to civil aviation. Thus, a reliable upset recovery
policy is necessary for aircraft. In this paper, a two-stage strategy to achieve a reinforcement …

Generally, airplane upsets in flight are considered a precursor to loss of control in flight (LOC-
I) accidents, and unfortunately LOC-I is classified as the leading cause of fatal accidents. To …

To achieve system resilience, one can leverage high-level design features (eg,
redundancies and fail-safes), adjust operational profiles (eg, load or trajectory), and use …

Including resilience in an overall systems optimization process is challenging because the
space of hazard-mitigating features is complex, involving both inherent and active …

Aircraft upsets are a major cause of fatalities in civil aviation. Unfortunately, recovery from
upset scenarios is challenging due to the combination of nonlinearities, actuator limits, and …

It is desirable for complex engineered systems to perform missions efficiently and
economically, even when these missions' complex, variable, long-term operational profiles …

Optimizing a system's resilience can be challenging, especially when it involves considering
both the inherent resilience of a robust design and the active resilience of a health …

Practical engineering design problems are generally multi-disciplinary with limited budget
and high risk in terms of life loss, economic resources, etc. In the early phase of such …