Learning-enabled control systems have demonstrated impressive empirical performance on
challenging control problems in robotics, but this performance comes at the cost of reduced …

Learning-enabled control systems have demonstrated impressive empirical performance on
challenging control problems in robotics, but this performance comes at the cost of reduced …

All of science and engineering, including chemical engi-neering, is being transformed by
new sources of data from high-throughput experiments, observational studies, and …

The paper considers the problem of the analysis of distributed computer systems reliability
with client-server architecture. A distributed computer system is a set of hardware and …

Pipeline failures in crude oil transportation occur due to ageing infrastructure, third-party
interferences, equipment defects and naturally occurring failures. Consequently …

This paper focuses on the resilience of a nature-inspired class of algorithms. The issues
related to resilience fall under a very wide umbrella. The uncertainties that we face in the …

Scalability is a great advantage for systems that face uncertain demand. Scalable systems
can be increased in size at a reasonable cost to meet increasing demand, or they can be …

Applications in distributed systems are enhanced due to microservice architecture. It
enriches the cloud's unique features like availability and scalability. The distributed nature …

In the existing era, it has become common for information and software applications to be
stored and run as services on cloud platforms. Communication service is one example in …

The chapter revisits the recent methodology of distributed robust filtering using the H_ ∞
H∞ filtering approach. It summarizes some recent results on the analysis and design of …