The objective of this research is to present the state of the art of the safety assurance of
Artificial Intelligence (AI)-based systems and guidelines on future correlated work. For this …

This paper aims to examine the potential of using the emerging deep reinforcement learning
techniques in missile guidance applications. To this end, a Markovian decision process that …

With the advancements in utilizing Artificial Intelligence (AI) in embedded safety-critical
systems based on Field-Programmable Gate Arrays (FPGAs), assuring that these systems …

A significant challenge in designing flight controllers lies in their dependency on the quality
of dynamic models. This research explores the potential of artificial intelligence-based flight …

Since designing aircraft flight controllers is complex, expensive, and time consuming, the
interchangeability of flight controllers between different aircraft platforms has been an active …

This paper presents a Shared Control Architecture (SCA) between a human pilot and a
smart inceptor for nonlinear Pilot Induced Oscillations (PIOs), eg, category II or III PIOs. One …

This paper presents the flight test verification and validation of a novel multi-reference
longitudinal and lateral-directional guidance logic across multiple autonomous aircraft with …

Low-fidelity engineering-level dynamic models are commonly employed while designing
uncrewed aircraft flight controllers due to their rapid development and cost-effectiveness …

* Corresponding author.† These authors contributed equally to this work and share first
authorship. formance is compared to other modern controller techniques in four actual flight …

In this paper, we investigate the design of a safe hybrid controller for an aircraft that switches
between a classical linear quadratic regulator (LQR) controller and a more intelligent …