Future autonomous transportation is one of the most demanding application areas in terms
of connectivity, as it has to simultaneously meet stringent criteria that do not typically go …

Air data inertial reference system (ADIRS) parameters are very important for the safe flight of
an aircraft. The ADIRS consists of air data inertial reference units (ADIRUs) and the air data …

A real-time wind velocity vector and parameters estimation and wind model identification
approach using a machine learning technique is addressed in this paper. The proposed …

This investigation presents a digital logic accelerator (DLA) design of a neural network
hardware that utilizes output reuse. The DLA is used in the detection mechanism of …

Due to the state trajectory-independent features of invariant extended Kalman filtering, it has
attracted widespread attention in the research community for its significantly improved state …

The accurate estimation of flow angles is crucial for enhancing flight performance and
aircraft safety. Flow angles of fixed-wing small unmanned aerial vehicles (SUAVs) are more …

THE typical approach for planetary probe entry atmosphere reconstruction uses a
deterministic method in which the capsule aerodynamics are known. The method relies on …

A hybrid flush/synthetic air data sensing filter utilizing Kalman-Schmidt and Rach-Tung-
Striebel smoothers is developed to obtain entry vehicle atmosphere estimates. The …

针对基于表面肌电信号(Surface electromyography, sEMG) 的人体肢体运动估计建模困难的
问题, 提出一种渐进无迹卡尔曼滤波网络(Progressive unscented Kalman filter network, PUKF …

Airspeed data is so important for an aircraft operation. This study is focused on the
estimation of the airspeed data without any additional measurement source such as …