Control allocation algorithms for quadrotor unmanned aerial vehicles (UAVs) avoid incorporating relatively minor aerodynamic effects such as ‘blade flapping' and induced drag in order to simplify the ...

To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...

Neural networks are starting to see some of the earliest forms of development adoption and potential for expansion in applications across multiple segments of aviation for electronic systems both on ...

Researchers at Chiba University in Japan have developed a new artificial intelligence framework capable of decoding complex brain activity with significantly improved accuracy, marking an important ...

Researchers have developed photonic computing chips that overcome key limitations for a type of neural network known as a ...