Networked control systems, where feedback loops are closed over communication networks,
arise in several domains, including smart energy grids, autonomous driving, unmanned …

This paper addresses the problem of exponential practical stabilization of linear time-
invariant systems with disturbances using event-triggered control and bounded …

In this article, a novel neural network (NN)-based adaptive event-triggered control scheme is
developed for a class of uncertain discrete-time strict-feedback nonlinear systems with …

We study event-triggered control for stabilization of unstable linear plants over rate-limited
communication channels subject to unknown bounded delay. On one hand, the timing of …

This paper proposes a resource-aware control approach for discrete-time linear uncertain
systems. The approach uses a self-trigger condition to determine the sampling time to …

Formal methods refer to rigorous, mathematical approaches to system development and
have played a key role in establishing the correctness of safety-critical systems. The main …

Detection and measurement of abrupt changes in a process can provide us with important
tools for decision making in systems management. In particular, it can be utilised to predict …

The emerging interest in low-latency high-reliability applications, such as connected
vehicles, necessitates a new abstraction between communication and control. Thanks to …

The increase of penetration of renewable energies has posed inevitable challenges to the
stability and safety of power system operations, especially in large-scale multi-machine …

This paper deals with the stabilization of linear systems with process noise under packet
drops between the sensor and the controller. Our aim is to ensure exponential convergence …