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 …

Advances in both semiconductor and automotive industry are today enabling the next
generation of vehicles with significant electronics content than ever before. Consumers can …

As the use of safety critical systems is becoming more prevalent, there is a need to reduce
the implementation overhead required to provide safety. The conventional design of such …

The rapid rise of self-driving cars and drones has raised questions about the safety of
autonomous robotics deployed in society. Prior work on robust and adaptive control make …

Future pervasive autonomous systems such as un-manned land and air vehicles will need
to be extremely resilient to failures in sensors, actuators and on-board electronics for the …

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 …

The last decade has seen tremendous advances in the transformation of ubiquitous control,
computing and communication platforms that are anytime, anywhere. These platforms allow …

With the wide proliferation of autonomous sense-and-control real-time systems (such as
robots and self-driven cars), a key research objective is rapid recovery from the effects of …

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 …

Many real-life systems have integrated circuits interacting with physical systems in safety
critical applications. These systems are called hybrid systems. The safety analysis of …