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 …

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 …

当前动态系统呈现大型化, 复杂化的趋势, 基于贝叶斯滤波的动态系统状态估计遇到了一系列新
的挑战. 随着深度学习在特征提取与模式识别等方面的优势与潜力不断显现 …

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

近年来, 无人机因其运行成本低, 机动性强等独特优势被广泛应用于军民各复杂领域; 同时,
复杂多样的任务对无人机系统的可靠性和安全性提出了更高的要求. 无人机故障诊断技术能够 …

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 …

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 …

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 …

English 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 …