Fault diagnosis of various rotating equipment plays a significant role in industries as it
guarantees safety, reliability and prevents breakdown and loss of any source of energy …

With the aid of neural networks, this article develops two data-driven designs of fault
detection (FD) for dynamic systems. The first neural network is constructed for generating …

In the emerging growth of digital systems, the role of develo** self-repairing circuits are
demandable. Error tolerance is highly important for such automated platforms to perform …

The successful deployment of autonomous real-time systems is contingent on their ability to
recover from performance degradation of sensors, actuators, and other electro-mechanical …

Technological development in the field of robots, especially mobile robots, has been rapidly
increasing in the last few decades, specifically in the features of speed, accuracy, and …

The advent of pervasive autonomous systems such as self-driving cars and drones has
raised questions about their safety and trustworthiness. This is particularly relevant in the …

We propose a nonlinear position control using a differential flatness concept with a load
torque observer to compensate for the sinusoidal load torque in electro-hydraulic actuators …

Artificial intelligence (AI) and machine learning (ML) present some application opportunities
and challenges that can be framed as learning problems. The performance of machine …

Techniques for validating operation of a perception system that is configured to detect
objects in an environment of a vehicle are described herein. The techniques may include …

Serial communication is a fundamental method for data transfer in electronic devices,
particularly in Arduino-based systems. However, existing protocols, such as Universal …