I Samy, I Postlethwaite, DW Gu - International journal of control, 2010 - Taylor & Francis
Neural network based sensor fault detection, isolation and accommodation (NN-SFDIA) is becoming a popular alternative to traditional linear time-invariant model-based sensor fault …
S Ai, J Song, G Cai, K Zhao - Aerospace, 2022 - mdpi.com
Active disturbance rejection control (ADRC) is a model-independent method widely used in passive fault-tolerant control of the quadrotor unmanned aerial vehicle. While ADRC's …
The focus of this thesis is on the use of analytical redundancy to improve the reliability of low- cost unmanned aerial vehicles (UAVs). Specifically, a model-based fault detection algorithm …
GP Kladis, NC Tsourveloudis - 2020 International Conference …, 2020 - ieeexplore.ieee.org
A network of N uncertain aerial vehicle systems is connected via a Leader-Follower (L/F) configuration. These systems consist of control systems, sensors (proprioceptive …
D Hou, Q Su, Y Song, Y Yin - Drones, 2023 - mdpi.com
Drones are widely used in a number of key fields and are having a profound impact on all walks of life. Working out how to improve drone safety through fault detection is key to …
(UAVs) plays an important role in flight safety. Thus, any sensor fault/failure can have potentially catastrophic effects on vehicle control. The recent advance in adversarial studies …
Unmanned aerial vehicles (UAVs) have gained significant importance due to their wide applicability in modern life. Fault diagnosis plays a crucial role in ensuring their safe and …
EM Shakshuki, X Xing… - Mobile Information …, 2010 - content.iospress.com
One of the key prerequisite for a scalable, effective and efficient sensor network is the utilization of low-cost, low-overhead and high-resilient fault-inference techniques. To this …
Unmanned Aerial Vehicles (UAVs) are susceptible to various hazards (eg, software or hardware failures, communication failures, or security attacks) that may hinder mission …