Sensor nodes in wireless sensor networks (WSNs) are randomly deployed in hostile
environments. Real-time experience shows that sensor nodes are prone to faulty. Different …

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 …

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 …

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 …

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 …

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 …